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

#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 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  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, 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 #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 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 <a > </a> 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 <a > </a> #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, 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

#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 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 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

About the job Data Scientist - Senior Associate Job Description Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis <ul><li>Support identification of key indicators both for compliance and effectiveness critical to mission/business success </li><li>Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions </li><li>Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses </li><li>Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs </li> </ul>

<h3>Data Scientist</h3> Location: OnSite Category: Cyber Security Employment Type: Full Time Client: Our Client Location: Arlington VA Security Clearance: Active Secret Security Clearance <h3>Job Overview</h3> We are seeking a highly skilled Data Scientist to join our dynamic team. In this role you will work on developing multiintelligence and multidomain systems specializing in object and activitybased models within the intelligence community. Your contributions will directly support national efforts to combat chemical biological radiological and nuclear (CBRN) threats by leveraging Integrated Biosurveillance (IB) for early detection and warning. Your work will enhance situational awareness and support critical decisionmaking during healthrelated incidents. <h3>Key Responsibilities</h3> <ul><li>Design configure develop test and support informatics and data science solutions across diverse technical use cases.</li><li>Apply analytical methodologies to address datarelated challenges implement effective solutions and assess performance outcomes.</li><li>Document and present requirements design alternatives and findings to team members and clients clearly and concisely.</li><li>Develop strategic baseline data modeling processes and accurately assess causeandeffect relationships.</li><li>Utilize integrated development environments data integration visualization and data mining/analysis tools.</li><li>Maintain and guide the development of common libraries and tools shared across multiple teams.</li><li>Assist in formulating strategies to achieve rapid prototyping for innovative solutions.</li></ul> <h3>Qualifications</h3> Required Skills and Experience: <ul><li>U.S. Citizenship and an Active Secret Security Clearance.</li><li>Bachelors degree with 710 years of experience or Masters degree with 5 years of experience.</li><li>Proficiency in one or more scripting languages (e.g. Python or R).</li><li>Expertise in one or more big data programming languages (e.g. Python or Java).</li><li>Experience in AI/ML model development containerization and productization.</li><li>Knowledge graph construction and reasoning experience including familiarity with property graph or RDF model frameworks.</li><li>Experience with Elasticsearch and related indexing technologies.</li><li>Prior experience in data analytics or big data research particularly supporting military or intelligence community customers.</li><li>Familiarity with opensource data sources (PAI) and/or forensic media (DOMEX).</li><li>Experience developing predictive algorithms.</li></ul> Preferred Skills and Experience: <ul><li>Experience in cybersecurity or network security operations.</li><li>Familiarity with social network analysis supply chain analysis forensic accounting patternoflife analysis natural language processing social media analysis classification algorithms and/or image processing.</li><li>Ability to blend analytical methodologies and creatively leverage COTS/GOTS/OS tools for unconventional applications.</li></ul> <h3>Benefits</h3> We are committed to creating a supportive and inclusive workplace where employees feel valued and empowered. Our exceptional benefits package includes: <ul><li>Health Care Plan: Medical Dental & Vision.</li><li>Retirement Plan: 401k IRA.</li><li>Life Insurance: Basic Voluntary & AD&D.</li><li>Paid Time Off: Vacation Sick Leave and Public Holidays.</li><li>Training & Development Opportunities.</li></ul>

About the job Data Scientist - Senior Associate Job Description Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis <ul><li>Support identification of key indicators both for compliance and effectiveness critical to mission/business success</li><li>Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions</li><li>Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses</li><li>Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs</li></ul>

Client Management Interns support the client team in managing client relationships, ensuring client needs are met, and enhancing client satisfaction. The intern will assist in developing and implementing client success plans, meeting preparation, coordinating cross-functional team support, and organizing client meetings and follow-ups. The role requires effective communication skills, attention to detail, and the ability to work both independently and collaboratively. *Internship details:* <ul><li>The internship will begin January 13, 2025</li><li>This internship will be based in the Detroit Metro area</li><li>20-25 hours/week work dedication during the semester and up to 40/week during breaks and summer</li><li>Anticipated graduation date between December 2025 - December 2026</li><li>Applicants for this internship position with Acxiom in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Acxiom (i.e., H1-B visa, F-1 visa (CPT/OPT), TN visa or any other non-immigrant status)</li></ul>What you will do:<ul><li>Collaborate with the client success team to develop and implement client success plans</li><li>Monitor client satisfaction and proactively address any issues or concerns.</li><li>Preparation for internal and external meetings.</li><li>Support the team in organizing and conducting client meetings and follow-ups.</li><li>Help to identify opportunities for improving client services and processes.</li><li>Maintain accurate and up-to-date client meeting artifacts and documentation.</li><li>Assist in managing client relationships and ensuring needs are met.</li><li>Research projects on relevant industry news, trends, products, services, competitors, and relevant existing and emerging technologies that may impact present and future account performance.</li><li>This role will partner with the Client Partners for the GM and other accounts to support data consulting with our clients:</li><li>Leverage education and experience in data visualization to support data-driven storytelling initiatives across the tower focusing on GM as a first priority.</li><li>Leverage Acxiom’s data and data available through established partnerships with brands like Equifax, Polk and Commerce Signals to develop opportunities for creating high-value audiences and other models.</li><li>Help coordinate and prepare for activities designed to build, test and perfect data solution</li><li>Work directly with account team as well as the Acxiom data teams.</li></ul>What you will need:<ul><li>Currently pursuing a degree in Business, Marketing, Communications, or a related field.</li><li>Strong interpersonal and communication skills.</li><li>Ability to work independently and as part of a team.</li><li>Detail-oriented with excellent organizational skills.</li><li>Proficiency in Microsoft Office Suite and CRM software is a plus.</li></ul>Who are we seeking?<ul><li>Top Talent & High Performers: We hire the brightest in the industry!</li><li>Innovative Collaborators: We drive operational improvements to promote efficiency and improve performance.</li><li>Future Leaders: We develop our people and promote from within.</li><li>Game Changers: We empower people to challenge the status quo and explore new possibilities.</li><li>Emotional Intelligence: We cultivate greatness both within ourselves and with others.</li><li>Hardworking Employees: We look for initiative to conquer complex challenges.</li></ul>We believe in building an exciting workplace where associates feel highly motivated and want to engage every single day. It’s important to Acxiom that we invest in our culture and promote a healthy work-life balance. Acxiom has a fast paced, high-performance culture where we empower our people to do innovative, ground breaking work. You will always be guided to do what is right. Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected Primary Location City/State: 
Homebased - Conway, Arkansas Additional Locations (if applicable):Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

Data Scientist Jobs in Arlington, TX

Lead Data Scientist Hybrid
December 15, 2024

Lead Data Scientist Hybrid
December 14, 2024

Lead Data Scientist Hybrid
December 10, 2024

Data Scientist Senior Associate
December 3, 2024

Data Scientist
December 2, 2024

Data Scientist Senior Associate
November 30, 2024

Intern Data Scientist Spring Detroit Metro
November 27, 2024

Data Scientist
November 24, 2024

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Data Scientist Jobs in Arlington, TX

Lead Data Scientist HybridDecember 15, 2024

Lead Data Scientist HybridDecember 14, 2024

Lead Data Scientist HybridDecember 10, 2024

Data Scientist Senior AssociateDecember 3, 2024

Data ScientistDecember 2, 2024

Data Scientist Senior AssociateNovember 30, 2024

Intern Data Scientist Spring Detroit MetroNovember 27, 2024

Data ScientistNovember 24, 2024