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Nestlé Interview Questions

Nestlé Interview Guides

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Nestlé Salaries by Position

Foods people love. Brands people trust. And a career that nourishes your future like no other.
If you're driven by the passion to do something meaningful that changes lives, Nestlé is the place for you. Nestlé USA is one of seven operating companies that make up Nestlé’s presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.
We’re determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.
Position Summary
As a “Business Scientist” (Business Acumen + Data Scientist), the Enterprise Analytics (EA) Lead Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the Ensure Supply Functions (Procurement, Manufacturing, and Logistics), with a primary focus in Manufacturing.
Lead model development, evaluation, and deployment to support operational decision making across Ensure Supply, focusing mostly in Manufacturing.
Introduce Machine Learning methodologies across a wide breadth of business use cases.
Acquire deep understanding of business problems and translate them into appropriate mathematical depictions.
Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, performing data analysis, and generate self-service solutions to address needs.
Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams.
Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration.
Primary Responsibilities – What You’ll Do
Test and implement the advanced analytics methods to derive insights that drive business growth.
Drive the execution of AI solutions to address business needs.
Drive EA priorities through rapid piloting and scaling of next gen technologies.
Incorporate the latest data science thinking into NUSA’s solutions and models.
Collect, cleanse, and understand complex data sources to enable proper analytical modeling.
Research, design, develop, test, and implement data science methodologies across a wide range of business applications.
Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics.
Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work leading the charge from idea to delivered data science capability.
Participate in the evaluation, intake, design, and integration strategy between multiple commercial functions (sales, marketing, etc.) and data sources for varying Nestlé businesses.
Conduct proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle.
Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders.
Develop professional presentations and project status reporting appropriate for their intended audience.
Coach analysts and junior data scientists in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the commercial business network.
Develop reusable assets that can be leveraged across the data science team.
A few potential analytics areas you will be involved in are listed below:
Recommendation Engines (e.g. Production Process optimization, Inventory Management, Equipment Maintenance)
Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios)
Loss of Sterility of liquid processing governed by FDA Pasteurized Milk Ordinance.
Factory Loss Analysis (material loss, unplanned stops, maintenance, etc.).
Factory Digital Twins.
Requirements and Minimum Education Level
Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master’s degree preferred but additional, relevant work experience would be considered in lieu of a Master’s Degree.
5+ years of experience using various programming languages (R, Python etc.) to develop and apply machine learning methods and algorithms to address business priorities, with focus on consumer products preferred.
Necessary Skills & Qualifications
Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
Experience in manufacturing operations, processes, data and systems.
Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA.
Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian etc.).
Experience developing analytics solutions in python, with hands on experience leveraging python’s data manipulation, analysis, and visualization libraries.
Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks.
Strong understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code.
Experience visualizing/presenting data for partners using PowerBI, Tableau, or Streamlit.
Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production.
Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment.
Proven examples of developing, selling, and sharing modeling concepts and software development best practices across team members to drive adoption.
Experience in a mentorship type role, focused on driving contribution beyond own models and projects.
Good facilitation and presentation skills, including training delivery.
Excellent oral and written communication skills, organizational and time-management abilities.
High initiative, self-starter, and able to work with limited supervision.
Requisition ID: 327738
It is our business imperative to remain a very inclusive workplace.
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law.

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Foods people love. Brands people trust. And a career that nourishes your future like no other. If you're driven by the passion to do something meaningful that changes lives, Nestlé is the place for you. Nestlé USA is one of seven operating companies that make up Nestlé’s presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact. We’re determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you. Position Summary As a “Business Scientist” (Business Acumen + Data Scientist), the Enterprise Analytics (EA) Lead Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the Ensure Supply Functions (Procurement, Manufacturing, and Logistics), with a primary focus in Manufacturing. <ol><li>Lead model development, evaluation, and deployment to support operational decision making across Ensure Supply, focusing mostly in Manufacturing. </li><li>Introduce Machine Learning methodologies across a wide breadth of business use cases. </li><li>Acquire deep understanding of business problems and translate them into appropriate mathematical depictions. </li><li>Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, performing data analysis, and generate self-service solutions to address needs. </li><li>Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams. </li><li>Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration. </li> </ol>Primary Responsibilities – What You’ll Do <ol><li>Test and implement the advanced analytics methods to derive insights that drive business growth. </li><li>Drive the execution of AI solutions to address business needs. </li><li>Drive EA priorities through rapid piloting and scaling of next gen technologies. </li><li>Incorporate the latest data science thinking into NUSA’s solutions and models. </li><li>Collect, cleanse, and understand complex data sources to enable proper analytical modeling. </li><li>Research, design, develop, test, and implement data science methodologies across a wide range of business applications. </li><li>Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics. </li><li>Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work leading the charge from idea to delivered data science capability. </li><li>Participate in the evaluation, intake, design, and integration strategy between multiple commercial functions (sales, marketing, etc.) and data sources for varying Nestlé businesses. </li><li>Conduct proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle. </li><li>Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders. </li><li>Develop professional presentations and project status reporting appropriate for their intended audience. </li><li>Coach analysts and junior data scientists in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the commercial business network. </li><li>Develop reusable assets that can be leveraged across the data science team. </li> </ol>A few potential analytics areas you will be involved in are listed below: <ol><li>Recommendation Engines (e.g. Production Process optimization, Inventory Management, Equipment Maintenance) </li><li>Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios) </li><li>Loss of Sterility of liquid processing governed by FDA Pasteurized Milk Ordinance. </li><li>Factory Loss Analysis (material loss, unplanned stops, maintenance, etc.). </li><li>Factory Digital Twins. </li> </ol>Requirements and Minimum Education Level <ol><li>Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master’s degree preferred but additional, relevant work experience would be considered in lieu of a Master’s Degree. </li><li>5+ years of experience using various programming languages (R, Python etc.) to develop and apply machine learning methods and algorithms to address business priorities, with focus on consumer products preferred. </li> </ol>Necessary Skills & Qualifications <ol><li>Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs). </li><li>Experience in manufacturing operations, processes, data and systems. </li><li>Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA. </li><li>Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian etc.). </li><li>Experience developing analytics solutions in python, with hands on experience leveraging python’s data manipulation, analysis, and visualization libraries. </li><li>Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks. </li><li>Strong understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code. </li><li>Experience visualizing/presenting data for partners using PowerBI, Tableau, or Streamlit. </li><li>Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production. </li><li>Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment. </li><li>Proven examples of developing, selling, and sharing modeling concepts and software development best practices across team members to drive adoption. </li><li>Experience in a mentorship type role, focused on driving contribution beyond own models and projects. </li><li>Good facilitation and presentation skills, including training delivery. </li><li>Excellent oral and written communication skills, organizational and time-management abilities. </li><li>High initiative, self-starter, and able to work with limited supervision. </li> </ol>Requisition ID: 327738 It is our business imperative to remain a very inclusive workplace. The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. #J-18808-Ljbffr

Foods people love. Brands people trust. And a career that nourishes your future like no other. If you're driven by the passion to do something meaningful that changes lives, Nestle is the place for you. Nestle USA is one of seven operating companies that make up Nestle's presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact. We're determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you. This position is not eligible for Visa Sponsorship. Position Summary As a "Business Scientist" (Business Acumen Data Scientist), the Enterprise Analytics (EA) Lead Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the Ensure Supply Functions (Procurement, Manufacturing, and Logistics), with a primary focus in Manufacturing. Lead model development, evaluation, and deployment to support operational decision making across Ensure Supply, focusing mostly in Manufacturing. Introduce Machine Learning methodologies across a wide breadth of business use cases. Acquire deep understanding of business problems and translate them into appropriate mathematical depictions. Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, performing data analysis, and generate self-service solutions to address needs. Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams. Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration. Primary Responsibilities - What You'll Do Test and implement the advanced analytics methods to derive insights that drive business growth. Drive the execution of AI solutions to address business needs. Drive EA priorities through rapid piloting and scaling of next gen technologies. Incorporate the latest data science thinking into NUSA's solutions and models. Collect, cleanse, and understand complex data sources to enable proper analytical modeling. Research, design, develop, test, and implement data science methodologies across a wide range of business applications. Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics. Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work leading the charge from idea to delivered data science capability. Participate in the evaluation, intake, design, and integration strategy between multiple commercial functions (sales, marketing, etc.) and data sources for varying Nestle businesses. Conduct proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle. Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders. Develop professional presentations and project status reporting appropriate for their intended audience. Coach analysts and junior data scientists in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the commercial business network. Develop reusable assets that can be leveraged across the data science team. A few potential analytics areas you will be involved in are listed below. Recommendation Engines (e.g. Production Process optimization, Inventory Management, Equipment Maintenance) Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios) Loss of Sterility of liquid processing governed by FDA Pasteurized Milk Ordinance. Factory Loss Analysis (material loss, unplanned stops, maintenance, etc.). Factory Digital Twins. Requirements and Minimum Education Level Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master's degree preferred but additional, relevant work experience would be considered in lieu of a Master's Degree. 5 years of experience using various programming languages (R, Python etc.) to develop and apply machine learning methods and algorithms to address business priorities, with focus on consumer products preferred. Necessary Skills & Qualifications Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs). Experience in manufacturing operations, processes, data and systems. Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA. Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian etc.). Experience developing analytics solutions in python, with hands on experience leveraging python's data manipulation, analysis, and visualization libraries. Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks. Strong understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code. Experience visualizing/presenting data for partners using PowerBI, Tableau, or Streamlit. Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production. Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment. Proven examples of developing, selling, and sharing modeling concepts and software development best practices across team members to drive adoption. Experience in a mentorship type role, focused on driving contribution beyond own models and projects. Good facilitation and presentation skills, including training delivery. Excellent oral and written communication skills, organizational and time-management abilities. High initiative, self-starter, and able to work with limited supervision. Requisition ID:327738 Li-Hybrid It is our business imperative to remain a very inclusive workplace. To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home. The Nestle Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodationsnestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy

Nestle Professional is committed to providing the finest ingredients, operational knowledge, and uncompromised support to foodservice operations across the US. Our team of culinary experts and skilled product developers partner closely with foodservice professionals to generate creative, branded food and beverage solutions that address a wide variety of needs. As a business serving other businesses, we're focused on performing with speed, service, and precision to cook up delicious ideas for our clients both small and large. Satisfy your appetite for an exciting career at Nestle Professional.This position is not eligible for Visa Sponsorship.<h3>POSITION SUMMARY:</h3>The Factory Engineering Manager oversees all engineering and maintenance operations within the factory, ensuring that employee health and safety, product safety, and environmental protection are upheld without compromise. The Manager is dedicated to driving activities that enhance product quality, optimize plant performance, and align with the business objectives.<h3>PRIMARY RESPONSIBILITIES:</h3><ol><li>Supervise the implementation of the Factory Engineering teams plan and objectives in accordance with Nestle practices.</li><li>Propose and implement work processes, procedures and technical resources related to Factory engineering and maintenance.</li><li>Lead the Factory engineering and maintenance and maintain proficiencies, motivation and performance to achieve the team's mission and objectives.</li><li>Propose and control the budget as well as the factory's capital investment plans and related capital expenditures.</li><li>Supervise our capital investments and request for approval and reporting are in line with the guidelines for Capital Investment.</li><li>Ensure that projects are crafted with a high degree of flexibility to better enable the operations to adjust to a changing environment keeping in mind safety and the environment.</li><li>Execute M&I in accordance with the Nestle Maintenance Strategy using Consequence Driven Maintenance (CDM) as the multi-disciplined approach to proactively maintain/improve the fixed assets and Asset and Maintenance Management as the process to manage the asset lifecycle.</li><li>Ensure the team view M&I as an investment in asset reliability and overall plant performance.</li><li>Collaborate closely daily with Production and Quality Assurance to resolve technical issues and to ensure efficient operation.</li><li>Ensure that all the team members are familiar with and implement Good Manufacturing Practices (GMP).</li><li>Ensure environmental compliance with Nestle Environmental management System, Nestle Operational Safety, Health and Risk Management Strategy.</li><li>Ensure execution of maintenance is in accordance with the Nestle Maintenance Strategy by using the Consequence Driven Maintenance philosophy.</li><li>Ensure implementation of Asset Maintenance Management as Factory Maintenance Systems including Technical Stores Management, Work Order Management and Labor Hour allocation and Equipment Bill of Material (BOM).</li><li>Optimize predictive maintenance technologies to minimize unplanned downtime and utilize planned downtime for scheduled and Condition-Based Maintenance.</li><li>Initiate and coordinate the implementation of new processes/technologies with local, market, PTC, CTU and SBU engineering.</li><li>Maintain and develop functional expertise in technical operations by providing training and development programs.</li><li>Manage resources continuously to align with factory objectives and business strategies, include outsourcing opportunities.</li></ol><h3>MINIMUM REQUIREMENTS & EDUCATION:</h3>* Bachelor's degree in Engineering, required, preferably in Mechanical, Chemical, or Process Engineering<h3>EXPERIENCE:</h3>* 5 - 7 years experience in a technical field, preferably in food manufacturing facility including maintenance responsibilities. * Minimum 3-5 years of leadership/management experience required. * 1 - 3 years TPM / continuous improvement process development, preferred.<h3>SKILLS:</h3>* Understanding of financial analysis and relevant business drivers such as Nestle Standard Costing * Asset and Maintenance Management * CAPEX budgeting and preparation. * AutoCAD view or Visio, CDM, AMM, ESAT, CIAT, NEMT, etc. * Knowledge of food safety, regulatory requirements for food safety and hygienic engineering (OSH&R).<h3>REQUISITION ID:</h3>319642
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At Nestle Health Science, we believe that nutrition, science, and wellness must merge, not collide. Here, we embrace the intrinsic connections of these three pillars, harnessing their collective strength to empower healthier lives. Our broad product portfolio includes renowned brands like Garden of Life, Nature's Bounty, Vital Proteins, Orgain, Nuun, BOOST, Carnation Breakfast Essentials, Peptamen, Compleat Organic Blends, and more. We also have extensive pharmaceutical expertise, offering innovative medicines that aim to prevent, manage, and treat gastrointestinal and metabolic-related diseases.At Nestle Health Science, we bring our best for better lives. Our people are challenged to bring fresh, diverse views and make bold moves to empower healthier lives through nutrition. We know brilliant ideas can come from anyone, anywhere. Here we embrace the entrepreneurial spirit and collaborate with teams that champion focused and forward thinking. We are committed to fostering professional growth and celebrating the achievements of our people along the way. We offer dynamic career paths, robust development, opportunities to learn from talented colleagues around the globe, and benefits that support physical, financial, and emotional wellbeing.Join us to innovate for impact and reimagine the future of health and nutrition for patients and consumers.Position Summary: Manage internal and external engineering resources, vendors, contractors & stakeholders whose objective is to oversee large capital investments relating to the company's fixed assets. This could involve the relocation and optimization of the existing fixed asset base including maintenance optimization and/or the purchase of new fixed assets, installation of new line, industrial services, and civil construction. It may extend from the initial conceptual studies through to project closeout.Key Responsibilities:<ol><li>Coordinate and manage resources, both personnel (e.g. project engineers, technicians, contractors, vendors etc.) and funding, to ensure the project or mission fulfills and meets the set objectives defined within the approved scope / project charter.</li><li>Propose and control the project costs in accordance with the Capital Investment Guidelines.</li><li>Monitor the project in accordance with the key performance indicators, including within budget, delivered on time and successfully handed over.</li><li>Review the quality of work completed with the project team to make sure it meets project standards.</li><li>Evaluate performance and provide feedback to project team members assigned to the project.</li><li>Ensure that the requirements of the client are maintained at all times in accordance with the business needs.</li><li>Guide the team principles of ethical conduct on behalf of the community, consumer, company, and the engineering profession.</li><li>Champion a demeanor of zero tolerance for unsafe situations and never implement any change, whether directly instructed to, or under your own initiative, without first questioning its impact in relation to product safety/quality, people safety and the environment through a Management of Change - MOC.</li><li>Support and encourage clear and open communication between the team members and related partners, e.g. site, division and market management, project steering committee, NPTC, TCU, CO- Engineering, CT-Packaging.</li><li>Encourage all team members to drive their efforts towards a "low cost, highly efficient" operation which meets the business needs.</li><li>Take the lead in driving good Hygienic Engineering, in the design and execution of the project, ensuring the implementation meets Good Manufacturing Practices (GMP) and safety standards.</li><li>Ensure that engineering respects the requirements of the Nestle Quality System (NQS), Hazard Analysis Critical Control Points (HACCP), OSHA, and other requirements.</li><li>Encourage continuous improvement, networking and sharing information within engineering such that it becomes a key pillar of the engineering culture.</li><li>Drive procedures for protecting technological and proprietary know-how are in place, are rigorously handled, and respected.</li><li>Ensure that all projects are sustainable and designed for the long term, resulting in a positive impact on the company ROIC.</li><li>Challenge the supporting documentation even if it is provided by other functions.</li><li>Prepare the project for approval in accordance with the Guidelines for Capital Investment.</li><li>Ensure that all assets are well designed (i.e. plant layout, equipment selection etc.) and fit the business purpose through applying new technologies, proven principles, thorough design reviews and basic science.</li><li>Support or manage all official Value Engineering Analysis (VEA) studies, and ensure a VEA approach is taken to challenge the design in order to find optimal solutions.</li><li>Ensure that the design is advised towards a low cost, highly efficient and flexible operation keeping total cost of operation in mind when selecting equipment and suppliers, while at the same time looking for the latest in technology to advance Nestle's competitive advantage.</li><li>Check the validity of all mandatory safety, environment, energy, line efficiency and performance reports in respect to engineering. Be proactive in investigating any issues relating to non-compliance, major breakdowns and non-conformance with key performance indicators.</li><li>Ensure the correct SME (Subject Matter Experts) are involved in all 30%, 60%, 90% design reviews.</li><li>Ensure safe work sites at all times and installations that are easy to operate, clean and maintain as well as guaranteeing after commissioning the safe, consistent manufacture/distribution of quality products.</li><li>Ensure that when working with external engineering services, contractors, suppliers etc. that the scope, deliverables, performance and milestones are clearly defined and agreed upfront.</li><li>Work with OSL (Operation and Start-up Lead) to ensure a proper Management of Change - MOC, is in place, approved and followed during the proper project implementation, including all necessary Product Protection Plans - PPPs.</li><li>Utilize project management tools (MS Project, pull plan board, SAP-PS, AMM, FMEA, What-if Analysis, etc.) to ensure successful vertical start-ups.</li><li>Ensure that a progress report is prepared on a monthly basis to include updated EST Estimate To Complete status.</li><li>Ensure compliance with business principles especially when dealing with procuring equipment and services, and management of the ongoing contracts.</li><li>Ensure that the project scope is achieved within the agreed cost and timing.</li><li>Work with OSL - Operations Start-up Lead to ensure that the operators, mechanics, electricians etc. are effectively trained and that the transfer of the equipment to the client is both smooth and efficient. This includes all the supporting documentation from the OSL team that will be required by the Factory to operate and maintain the plant. e.g. operating instructions, equipment manuals, plant layouts, maintenance instructions, spare parts listing, etc.</li><li>Support the operation of the process or plant until required deliverables are achieved.</li><li>Handle the allocation of all expenditures together with Finance / Project Controller to clearly defined assets and the entry into the assets register.</li><li>Complete the project file and ensure that it is handed over to the client. Ensure spare parts are properly set up by factory and PM's are implemented for all new/modified equipment.</li></ol>Experience and Education Requirements:<ol><li>Degree/Diploma in Engineering Field. (Mechanical Engineering, Process Engineering, Chemical Engineering, Electrical Engineering).</li><li>Minimum 5+ years of significant experience and achievement in a technical field with a project engineering background.</li><li>Supervisory experience in managing internal and/or external project team members and/or vendor resources, contractors or equivalent.</li><li>Experience in facilitating Change in a manufacturing environment is critical.</li><li>Previous experience as Project Engineer managing major capital projects over $5MM is a plus.</li><li>Project Management and Process Engineering experience within the food, dairy, cosmetic, pharmaceutical or consumer products industry is a plus.</li><li>PMP Certification is a plus.</li><li>Travel - 10%-25% of time depending on project phase (vendor & equipment assessments and tests).</li><li>In-depth knowledge of dairy processing plants and technologies, or Pharma / similar industries, Hygienic and sanitary design and engineering, 3A standards, CIP systems, Powder handling, Liquid handling and Ammonia refrigeration systems.</li></ol>Requisition ID: 308096
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Foods people love. Brands people trust. And a career that nourishes your future like no other.
If you're driven by the passion to do something meaningful that changes lives, Nestlé is the place for you. Nestlé USA is one of seven operating companies that make up Nestlé’s presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.
We’re determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.
Position Summary
As a “Business Scientist” (Business Acumen + Data Scientist), the Enterprise Analytics (EA) Lead Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the Ensure Supply Functions (Procurement, Manufacturing, and Logistics), with a primary focus in Manufacturing.
Lead model development, evaluation, and deployment to support operational decision making across Ensure Supply, focusing mostly in Manufacturing.
Introduce Machine Learning methodologies across a wide breadth of business use cases.
Acquire deep understanding of business problems and translate them into appropriate mathematical depictions.
Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, performing data analysis, and generate self-service solutions to address needs.
Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams.
Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration.
Primary Responsibilities – What You’ll Do
Test and implement the advanced analytics methods to derive insights that drive business growth.
Drive the execution of AI solutions to address business needs.
Drive EA priorities through rapid piloting and scaling of next gen technologies.
Incorporate the latest data science thinking into NUSA’s solutions and models.
Collect, cleanse, and understand complex data sources to enable proper analytical modeling.
Research, design, develop, test, and implement data science methodologies across a wide range of business applications.
Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics.
Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work leading the charge from idea to delivered data science capability.
Participate in the evaluation, intake, design, and integration strategy between multiple commercial functions (sales, marketing, etc.) and data sources for varying Nestlé businesses.
Conduct proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle.
Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders.
Develop professional presentations and project status reporting appropriate for their intended audience.
Coach analysts and junior data scientists in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the commercial business network.
Develop reusable assets that can be leveraged across the data science team.
A few potential analytics areas you will be involved in are listed below:
Recommendation Engines (e.g. Production Process optimization, Inventory Management, Equipment Maintenance)
Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios)
Loss of Sterility of liquid processing governed by FDA Pasteurized Milk Ordinance.
Factory Loss Analysis (material loss, unplanned stops, maintenance, etc.).
Factory Digital Twins.
Requirements and Minimum Education Level
Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master’s degree preferred but additional, relevant work experience would be considered in lieu of a Master’s Degree.
5+ years of experience using various programming languages (R, Python etc.) to develop and apply machine learning methods and algorithms to address business priorities, with focus on consumer products preferred.
Necessary Skills & Qualifications
Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
Experience in manufacturing operations, processes, data and systems.
Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA.
Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian etc.).
Experience developing analytics solutions in python, with hands on experience leveraging python’s data manipulation, analysis, and visualization libraries.
Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks.
Strong understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code.
Experience visualizing/presenting data for partners using PowerBI, Tableau, or Streamlit.
Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production.
Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment.
Proven examples of developing, selling, and sharing modeling concepts and software development best practices across team members to drive adoption.
Experience in a mentorship type role, focused on driving contribution beyond own models and projects.
Good facilitation and presentation skills, including training delivery.
Excellent oral and written communication skills, organizational and time-management abilities.
High initiative, self-starter, and able to work with limited supervision.
Requisition ID: 327738
It is our business imperative to remain a very inclusive workplace.
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law.

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We’re a leader in the pet care industry, which means we’re not only ahead in volume, profit and market share, but our associates dare to Stand Taller. We innovate new products, impart new agilities into existing processes, constantly advance pet nutrition, and always pay it forward in the form of service for our communities and families. Are you up for the dare? This position is not eligible for Visa Sponsorship. Position Summary Our roots were planted here in 1894, and we have since expanded to 24 manufacturing facilities nationwide. St. Louis, a hidden gem, offers a unique blend of big-city amenities and a small-town feel. Discover a rich culture, world-class schools, top-notch healthcare, and affordable living. With neighborhoods to suit every lifestyle, St. Louis is the perfect place to call home. Join us in this vibrant city, where we proudly work together to make a difference in the lives of people, our pets, and the environment. The Demand Planning Statistician applies complex predictive analytics using large data to support continuous improvement, decision-making, and operational effectiveness across the Supply Chain. Responsible for predicting Nestle Purina Pet Care’s product demand in North America, the Demand Planning Statistician uses data science techniques to develop and enhance forecast models for the manufacturing plants as well as customer accounts. The Demand Planning Statistician is focused on improving forecast accuracy, reducing forecast bias, increasing customer fulfillment, and predicting changes in customer demand. Forecasting: Utilize a variety of statistical techniques including regression, ARIMAX, ESM, and other time series methods to develop and improve predictive models. Revise and enhance forecast models by incorporating additional data. Investigate and implement innovative solutions to predict demand at multiple product and customer hierarchies. Project Consulting: Provide internal data science consulting services. Help business partners identify opportunities and problems that can be addressed through data science solutions. Support small-scale projects from initial ideation through planning, execution, and delivery. Programming: Automate data acquisition, modeling, and visualization in order to streamline and simplify processes. Clean and transform data to prepare datasets for further analysis. Adhere to programming best practices while working with multiple programming languages. Advanced Analytics: Apply predictive analytics, optimization, and visualization techniques in order to understand, describe, and predict data. Combine various data inputs (shipment, order, POS, and promotional data) from different external sources (Sales, Marketing, Operations Planning, Customer Facing, and more) as potential predictors of customer demand. Report building: Design and implement advanced reporting to support business needs. Review metrics: Implement actions to improve forecast accuracy, bias, and variability to meet demand planning performance targets. Collaboration: Engage across the demand planning functions to stay in-tune with business performance. Leverage collaborations to challenge models and ways of working for continuous improvement. Seek to acquire new knowledge in advanced and emerging techniques to implement new approaches. Communication: Present or provide data and information that educates and informs cross functional stakeholders. Requirements Master’s Degree in statistics, analytics, mathematics, or a related field 1 years’ experience solving business problems with advanced quantitative analysis and data science methodology The approximate pay range for this position is $80,000 to $115,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with Company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com) REQUISITION ID 326142 It is our business imperative to remain a very inclusive workplace. To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home. The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodationsnestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy

Nestle Professional is committed to providing the finest ingredients, operational knowledge, and uncompromised support to foodservice operations across the US. Our team of culinary experts and skilled product developers partner closely with foodservice professionals to generate creative, branded food and beverage solutions that address a wide variety of needs. As a business serving other businesses, we're focused on performing with speed, service, and precision to cook up delicious ideas for our clients both small and large. Satisfy your appetite for an exciting career at Nestle Professional. This position is not eligible for Visa Sponsorship. <h3>POSITION SUMMARY: </h3>The Factory Engineering Manager oversees all engineering and maintenance operations within the factory, ensuring that employee health and safety, product safety, and environmental protection are upheld without compromise. The Manager is dedicated to driving activities that enhance product quality, optimize plant performance, and align with the business objectives. <h3>PRIMARY RESPONSIBILITIES: </h3><ol><li>Supervise the implementation of the Factory Engineering teams plan and objectives in accordance with Nestle practices. </li><li>Propose and implement work processes, procedures and technical resources related to Factory engineering and maintenance. </li><li>Lead the Factory engineering and maintenance and maintain proficiencies, motivation and performance to achieve the team's mission and objectives. </li><li>Propose and control the budget as well as the factory's capital investment plans and related capital expenditures. </li><li>Supervise our capital investments and request for approval and reporting are in line with the guidelines for Capital Investment. </li><li>Ensure that projects are crafted with a high degree of flexibility to better enable the operations to adjust to a changing environment keeping in mind safety and the environment. </li><li>Execute M&I in accordance with the Nestle Maintenance Strategy using Consequence Driven Maintenance (CDM) as the multi-disciplined approach to proactively maintain/improve the fixed assets and Asset and Maintenance Management as the process to manage the asset lifecycle. </li><li>Ensure the team view M&I as an investment in asset reliability and overall plant performance. </li><li>Collaborate closely daily with Production and Quality Assurance to resolve technical issues and to ensure efficient operation. </li><li>Ensure that all the team members are familiar with and implement Good Manufacturing Practices (GMP). </li><li>Ensure environmental compliance with Nestle Environmental management System, Nestle Operational Safety, Health and Risk Management Strategy. </li><li>Ensure execution of maintenance is in accordance with the Nestle Maintenance Strategy by using the Consequence Driven Maintenance philosophy. </li><li>Ensure implementation of Asset Maintenance Management as Factory Maintenance Systems including Technical Stores Management, Work Order Management and Labor Hour allocation and Equipment Bill of Material (BOM). </li><li>Optimize predictive maintenance technologies to minimize unplanned downtime and utilize planned downtime for scheduled and Condition-Based Maintenance. </li><li>Initiate and coordinate the implementation of new processes/technologies with local, market, PTC, CTU and SBU engineering. </li><li>Maintain and develop functional expertise in technical operations by providing training and development programs. </li><li>Manage resources continuously to align with factory objectives and business strategies, include outsourcing opportunities. </li> </ol><h3>MINIMUM REQUIREMENTS & EDUCATION: </h3>* Bachelor's degree in Engineering, required, preferably in Mechanical, Chemical, or Process Engineering <h3>EXPERIENCE: </h3>* 5 - 7 years experience in a technical field, preferably in food manufacturing facility including maintenance responsibilities. * Minimum 3-5 years of leadership/management experience required. * 1 - 3 years TPM / continuous improvement process development, preferred. <h3>SKILLS: </h3>* Understanding of financial analysis and relevant business drivers such as Nestle Standard Costing * Asset and Maintenance Management * CAPEX budgeting and preparation. * AutoCAD view or Visio, CDM, AMM, ESAT, CIAT, NEMT, etc. * Knowledge of food safety, regulatory requirements for food safety and hygienic engineering (OSH&R). <h3>REQUISITION ID: </h3>319642 #J-18808-Ljbffr

Foods people love. Brands people trust. And a career that nourishes your future like no other.If you're driven by the passion to do something meaningful that changes lives, Nestle is the place for you. Nestle USA is one of seven operating companies that make up Nestle's presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.We're determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.This position is not eligible for Visa Sponsorship.POSITION SUMMARY: Provide professional engineering and strategic technical leadership in the Factory, ensuring people health and safety, product safety and environment are never compromised. Strategic leader for engineering function, leveraging Nestle's leadership principles in the following areas: capital execution, asset maintenance and utilities excellence, engineering compliance, and sustainability.<h3>PRIMARY RESPONSIBILITIES:</h3>People<ul><li>Live Nestle leadership principles in all aspects of the role.</li><li>Set the technical strategic vision for the factory, leveraging other functional leaders and cascade objectives to all leaders in engineering department, within factory cost targets.</li><li>Develop and maintain technical competencies at the factory, including detailed action plans, accountability to progress, talent review, career and succession planning.</li></ul>Maintenance and Improvement<ul><li>Drive equipment reliability through implementing maintenance foundations in TPM.</li><li>Build cooperation and collaboration with the production and other cross functional teams to build world class operation.</li><li>Improve maintenance cost structure by improving technical skill sets and optimizing 3rd party spend.</li></ul>Project Management<ul><li>Implement Nestle capital process to drive excellence in capital execution.</li><li>Proactively develop, maintain and execute the capital market business strategy (MBS) to align with the business needs.</li><li>Drive factory master planning to facilitate long term strategies across the factory for example in Safety, Quality and Warehouse.</li></ul>Industrial Services/Sustainability<ul><li>Ensure full compliance with all governing bodies for utilities system relevant to the Modesto site. This is paramount and non-negotiable to have strong understanding in these utilities system.</li><li>Maintain reliability through implementing maintenance foundations and TPM methodology.</li><li>Develop and maintain all skillset necessary for internal management of utilities systems.</li><li>Drive and execute plant sustainability objectives in line with market targets.</li><li>Drive world class water management in the factory.</li></ul>Electrical & Automation<ul><li>Drive reliability in all electrical components in the factory.</li><li>Develop and drive automation plan for the factory.</li><li>Ensure full compliance with Nestle standards including calibration.</li><li>Develop technical skills in maintenance to ensure electrical reliability.</li></ul>Process & Packaging Optimization<ul><li>Drive Innovation/Renovation, initiating/coordinating implementation of new processes/technology with relevant Market, Product Technology Center, Corporate and Strategic Business Unit.</li></ul>EXPECTED TOOLS TO LEVERAGE:<ul><li>Cascaded objectives to all leaders that are in-line with factory objectives.</li><li>Implement strategic technical OMP and factory master plan.</li><li>Detailed cost management plan for all aspects of engineering including YoY improvements.</li><li>Detailed action plan for all aspects of technical execution.</li><li>Maintenance Foundations/TPM.</li><li>Corporate resources and Nestle Market standards.</li></ul>REQUIREMENTS AND MINIMUM EDUCATIONAL LEVEL:<ul><li>B.S. degree in Engineering, preferably Mechanical, Chemical, Process required.</li><li>5-7 years' experience in a technical field, preferably in food or canning manufacturing facility including maintenance leadership.</li><li>Minimum 3-5 years of leadership/management experience required.</li><li>Knowledge of food safety, regulatory requirements for food safety and hygienic engineering (OSH&R) preferred.</li></ul>SKILLS:<ul><li>Understands and/or can learn the role and responsibilities of the position, including:</li></ul>Understanding of financial analysis and relevant business drivers such as Nestle Standard Costing, Asset and Maintenance Management, CAPEX budgeting and preparation.<ul><li>TPM / continuous improvement process development, preferred.</li><li>AutoCAD view, AMM, etc.</li><li>Strong technical and managerial skills.</li><li>In-depth knowledge of food processing plant and technology.</li><li>Maintenance technologies.</li><li>Operation of utilities.</li><li>Knowledge of food safety, regulatory requirements for food safety and hygienic engineering (OSH&R).</li><li>Analytical skills in problem solving.</li><li>Communication and networking.</li><li>Understanding of financial analysis and relevant business drivers.</li><li>Nestle Standard Costing.</li><li>Asset and Maintenance Management (AMM).</li><li>CAPEX budgeting and preparation (CIAT).</li><li>Project Engineering/Management - Plant Design & Construction.</li><li>Industrial Services and Energy Management (NEMT).</li></ul>The approximate pay range for this position is $150,000 to $175,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location.Nestle offers performance-based incentives and a competitive total rewards package, which includes a 401k with Company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position.It is our business imperative to remain a very inclusive workplace. To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home.The Nestle Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467. This position is not eligible for Visa Sponsorship.Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy
#J-18808-Ljbffr

Foods people love. Brands people trust. And a career that nourishes your future like no other.
If you're driven by the passion to do something meaningful that changes lives, Nestle is the place for you. Nestle USA is one of seven operating companies that make up Nestle's presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.
We're determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.
This position is not eligible for Visa Sponsorship.
Position Summary
As a "Business Scientist" (Business Acumen + Data Scientist), the Enterprise Analytics (EA) Lead Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the Ensure Supply Functions (Procurement, Manufacturing, and Logistics), with a primary focus in Manufacturing.
Lead model development, evaluation, and deployment to support operational decision making across Ensure Supply, focusing mostly in Manufacturing.
Introduce Machine Learning methodologies across a wide breadth of business use cases.
Acquire deep understanding of business problems and translate them into appropriate mathematical depictions.
Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, performing data analysis, and generate self-service solutions to address needs.
Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams.
Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration.
Primary Responsibilities - What You'll Do
Test and implement the advanced analytics methods to derive insights that drive business growth.
Drive the execution of AI solutions to address business needs.
Drive EA priorities through rapid piloting and scaling of next gen technologies.
Incorporate the latest data science thinking into NUSA's solutions and models.
Collect, cleanse, and understand complex data sources to enable proper analytical modeling.
Research, design, develop, test, and implement data science methodologies across a wide range of business applications.
Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics.
Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work leading the charge from idea to delivered data science capability.
Participate in the evaluation, intake, design, and integration strategy between multiple commercial functions (sales, marketing, etc.) and data sources for varying Nestle businesses.
Conduct proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle.
Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders.
Develop professional presentations and project status reporting appropriate for their intended audience.
Coach analysts and junior data scientists in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the commercial business network.
Develop reusable assets that can be leveraged across the data science team.
A few potential analytics areas you will be involved in are listed below.
Recommendation Engines (e.g. Production Process optimization, Inventory Management, Equipment Maintenance)
Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios)
Loss of Sterility of liquid processing governed by FDA Pasteurized Milk Ordinance.
Factory Loss Analysis (material loss, unplanned stops, maintenance, etc.).
Factory Digital Twins.
Requirements and Minimum Education Level
Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master's degree preferred but additional, relevant work experience would be considered in lieu of a Master's Degree.
5+ years of experience using various programming languages (R, Python etc.) to develop and apply machine learning methods and algorithms to address business priorities, with focus on consumer products preferred.
Necessary Skills & Qualifications
Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
Experience in manufacturing operations, processes, data and systems.
Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA.
Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian etc.).
Experience developing analytics solutions in python, with hands on experience leveraging python's data manipulation, analysis, and visualization libraries.
Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks.
Strong understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code.
Experience visualizing/presenting data for partners using PowerBI, Tableau, or Streamlit.
Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production.
Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment.
Proven examples of developing, selling, and sharing modeling concepts and software development best practices across team members to drive adoption.
Experience in a mentorship type role, focused on driving contribution beyond own models and projects.
Good facilitation and presentation skills, including training delivery.
Excellent oral and written communication skills, organizational and time-management abilities.
High initiative, self-starter, and able to work with limited supervision.
Requisition ID:327738
#Li-Hybrid
It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home.
The Nestle Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy

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