Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Worldwide Sal Analytics, Scientist, Data Science, Data Engineer, Customer Experience, Operations, Technology

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!The Worldwide Sales and Operations Advanced Analytics team is looking for an experienced Applied Scientist with deep passion for analytical solutions that have direct and measurable impact to Apple and its customers. At Apple, the increasing supply chain complexity and scale presents unique challenges to traditional analytics techniques. You will be part of a team of experts responsible for designing and developing advanced analytics models for strategic and tactical decision-making.Description* Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of designing and developing in-depth analytical solutions Expert knowledge and practical experience in building and communicating results of forecasting models. Strong sense of levers impacting forecast accuracy and ability to gain trust with stakeholders Practical experience solving real world problems and understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. Strong critical thinking and problem solving ability Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Phenomenal team player - invested in the collective success of the team and project outcomes Experience with data acquisition tools (e.g. SQL), data mining and data visualization. Familiarity with big data technologies eg: Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C++)Key Qualifications* Engage with business teams to identify opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects* Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem* Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility. Work collaboratively across teams* Communicate results of analyses and models to partners and senior leaders* Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the teamEducation & ExperiencePhD in Computer Science, Statistics, Applied Math or a related field and 5+ years of industry experience OR MS in related field with 7+ years hands on industry experience Experience in building forecasting models and implementing them in production is highly desiredPay & Benefits* At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Applied Scientist - WWBPR Advanced Analytics

Cupertino, California, United States

Software and Services

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Worldwide Sales and Operations Advanced Analytics team is looking for an experienced Applied Scientist with deep passion for analytical solutions that have direct and measurable impact to Apple and its customers. At Apple, the increasing supply chain complexity and scale presents unique challenges to traditional analytics techniques. You will be part of a team of experts responsible for designing and developing advanced analytics models for strategic and tactical decision-making.

Description

Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of designing and developing in-depth analytical solutions.

Expert knowledge and practical experience in building and communicating results of forecasting models.

Strong sense of levers impacting forecast accuracy and ability to gain trust with stakeholders.

Practical experience solving real world problems and understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection.

Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem.

Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. Strong critical thinking and problem solving ability.

Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience.

Phenomenal team player - invested in the collective success of the team and project outcomes.

Experience with data acquisition tools (e.g. SQL), data mining and data visualization. Familiarity with big data technologies e.g: Hadoop, Spark, Hive.

Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch.

Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus.

Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C++).

Minimum Qualifications

Engage with business teams to identify opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects.

Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem.

Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility. Work collaboratively across teams.

Communicate results of analyses and models to partners and senior leaders.

Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team.

Preferred Qualifications

Education & Experience

PhD in Computer Science, Statistics, Applied Math or a related field and 5+ years of industry experience OR MS in related field with 7+ years hands on industry experience. Experience in building forecasting models and implementing them in production is highly desired.

#J-18808-Ljbffr

Job ID: 2826146 | Amazon Development Center U.S., Inc. AWS Analytics is looking for a passionate, inventive Applied Scientist with a strong background in either machine learning, programming languages or databases to help create industry-leading analytics experiences powered by generative AI, machine learning, and program analysis. AWS provides a comprehensive set of analytics services for all data analytics needs and enables organizations of all sizes and industries to reinvent their business with data. From storage and management, data governance, actions, and experiences, AWS offers purpose-built services that provide the best price-performance, scalability, and lowest cost. We are a team dedicated to delivering transformative, science-driven analytics experiences for Amazon customers and having fun doing so. Our leadership team fosters an inclusive team culture and encourages work-life balance to bring out the best in each team member. Collaboration and mentorship are key tenets of our fabric. We are a growing team dedicated to supporting new members achieve their aspirations. <h3>Key job responsibilities </h3>As part of the AWS Analytics science team you will have the opportunity to apply your skills in machine learning, program analysis, and databases to impact some of the largest analytics services in the industry and their customers. You will innovate by designing and building agent-based solutions orchestrating foundation models, machine learning models, and program analyses to simplify AWS customers’ analytics journey and optimize their cost-performance profile. You will collaborate with a talented team of applied science peers to drive scientific impact and with engineering, product, and business leaders to launch your work in production at Amazon scale. A day in the life includes a mix of the following activities: talking to product leaders and customers to define science features; researching the state of the art and creating science plans to build them; building and rigorously benchmarking the science implementations of such features; partnering with engineering teams to onboard science work and launch it in production; preparing, publishing, and presenting scientific work at top-tier science venues and evangelizing it within the company; upgrading your science knowledge by participating in reading groups and science presentations by internal or external scientists; mentoring applied science interns and science peers in all of the above functions. <h3>About the team </h3>AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. <h3>Why AWS? </h3>Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. <h3>Inclusive Team Culture </h3>Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. <h3>Mentorship & Career Growth </h3>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. <h3>Work/Life Balance </h3>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. <h3>BASIC QUALIFICATIONS </h3>- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing <h3>PREFERRED QUALIFICATIONS </h3>- Background in machine learning, generative AI, or natural language processing - Background or expertise in programming languages or databases - Experience with large-scale distributed systems such as Spark, Hadoop, etc. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

Applied Scientist - WWBPR Advanced Analytics Cupertino, California, United States Software and Services Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Worldwide Sales and Operations Advanced Analytics team is looking for an experienced Applied Scientist with deep passion for analytical solutions that have direct and measurable impact to Apple and its customers. At Apple, the increasing supply chain complexity and scale presents unique challenges to traditional analytics techniques. You will be part of a team of experts responsible for designing and developing advanced analytics models for strategic and tactical decision-making. Description <ul><li>Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of designing and developing in-depth analytical solutions. </li><li>Expert knowledge and practical experience in building and communicating results of forecasting models. </li><li>Strong sense of levers impacting forecast accuracy and ability to gain trust with stakeholders. </li><li>Practical experience solving real world problems and understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection. </li><li>Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem. </li><li>Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. Strong critical thinking and problem solving ability. </li><li>Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. </li><li>Phenomenal team player - invested in the collective success of the team and project outcomes. </li><li>Experience with data acquisition tools (e.g. SQL), data mining and data visualization. Familiarity with big data technologies e.g: Hadoop, Spark, Hive. </li><li>Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch. </li><li>Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus. </li><li>Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C++). </li> </ul>Minimum Qualifications <ul><li>Engage with business teams to identify opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects. </li><li>Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem. </li><li>Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility. Work collaboratively across teams. </li><li>Communicate results of analyses and models to partners and senior leaders. </li><li>Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team. </li> </ul>Preferred Qualifications Education & Experience PhD in Computer Science, Statistics, Applied Math or a related field and 5+ years of industry experience OR MS in related field with 7+ years hands on industry experience. Experience in building forecasting models and implementing them in production is highly desired. #J-18808-Ljbffr

<h3>Applied Scientist - WWBPR Advanced Analytics</h3>Software and ServicesImagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Worldwide Sales and Operations Advanced Analytics team is looking for an experienced Applied Scientist with deep passion for analytical solutions that have direct and measurable impact to Apple and its customers. At Apple, the increasing supply chain complexity and scale presents unique challenges to traditional analytics techniques. You will be part of a team of experts responsible for designing and developing advanced analytics models for strategic and tactical decision-making.Description• Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of designing and developing in-depth analytical solutions. • Expert knowledge and practical experience in building and communicating results of forecasting models. • Strong sense of levers impacting forecast accuracy and ability to gain trust with stakeholders. • Practical experience solving real-world problems and understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection. • Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem. • Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. Strong critical thinking and problem-solving ability. • Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. • Phenomenal team player - invested in the collective success of the team and project outcomes. • Experience with data acquisition tools (e.g. SQL), data mining and data visualization. Familiarity with big data technologies e.g: Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch. • Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus. • Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C++).Minimum QualificationsKey Qualifications<ul><li>Engage with business teams to identify opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects.</li><li>Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem.</li><li>Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility. Work collaboratively across teams.</li><li>Communicate results of analyses and models to partners and senior leaders.</li><li>Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team.</li></ul>Preferred QualificationsEducation & ExperiencePhD in Computer Science, Statistics, Applied Math or a related field and 5+ years of industry experience OR MS in related field with 7+ years hands-on industry experience. Experience in building forecasting models and implementing them in production is highly desired.Additional Requirements<ul><li>At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.</li><li>Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.</li><li>Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</li></ul>Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
#J-18808-Ljbffr

Applied Scientist Jobs in Cupertino, CA

Applied Scientist Wwbpr Advanced Analytics
December 15, 2024

Applied Scientist Wwbpr Advanced Analytics
December 11, 2024

Applied Scientist Wwbpr Advanced Analytics
December 10, 2024

Applied Scientist Analytics Science
December 9, 2024

Applied Scientist Wwbpr Advanced Analytics
December 9, 2024

Applied Scientist Wwbpr Advanced Analytics
December 8, 2024

Quick filters

Top companies

Applied Scientist Jobs in Cupertino, CA

Applied Scientist Wwbpr Advanced AnalyticsDecember 15, 2024

Applied Scientist Wwbpr Advanced AnalyticsDecember 11, 2024

Applied Scientist Wwbpr Advanced AnalyticsDecember 10, 2024

Applied Scientist Analytics ScienceDecember 9, 2024

Applied Scientist Wwbpr Advanced AnalyticsDecember 9, 2024

Applied Scientist Wwbpr Advanced AnalyticsDecember 8, 2024