Data Scientist, WW CSO

Apple's WW Channel Strategy & Operations (CSO) team is seeking a Data Scientist to design, create, and implement solutions leveraging store experience and performance data. This role involves building robust, scalable data pipelines and models, applying advanced analytical techniques to uncover insights, and translating complex findings for stakeholders. The ideal candidate combines data engineering depth with data science and analytical problem-solving to drive decision intelligence across the organization.

Must Have

• 7+ years of experience in Data Engineering, Data Science, Applied Analytics, or similar hybrid roles
• Proven ability to design and optimize data pipelines and datasets for analytics and ML use cases
• Strong proficiency in Python and SQL
• Experience in distributed processing frameworks (e.g., Spark / Databricks)
• Experience working with large cross-functional data ecosystems, including data collection, instrumentation, and quality standards
• Ability to monitor, assess, and improve data quality, including anomaly detection, data validation, and lineage
• Demonstrated ability to synthesize needs across data science, BI, engineering, and product partners into cohesive data strategies

Good to Have

• Master’s degree in Data Science, Computer Science, Engineering, Information Systems, or equivalent practical experience
• Strong communication skills
• Highly collaborative and grounded

Perks & Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses (tuition) for career advancement
• Opportunity to become an Apple shareholder through employee stock programs
• Discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount
• Discretionary bonuses or commission payments (if eligible)
• Relocation (if eligible)

The people here don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join , and help us leave the world better than we found it. ’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of to our largest customers. The WW Channel Strategy & Operations (CSO) team focuses on developing and deploying worldwide sales programs and standard methodologies to deliver best customer experience in the Channel, and drive Channel sales. With deep functional expertise in digital, physical and people enablement spaces, WW CSO closely collaborates with many cross-functional teams at both worldwide and regional levels. We are looking for a data scientist to create, design and implement solutions that best leverage CSO’s store experience and performance data to create analytic solutions that will drive decision-making across the WW CSO organization.

We are seeking a technical practitioner who combines data engineering depth with data science and analytical problem-solving to enable high-quality, scalable data capabilities that drive decision intelligence across our organization.

• Design and build robust, scalable data pipelines, data models, and analytical datasets that support reporting, experimentation, and predictive modeling
• Partner closely with data engineering, product, and business teams to define data requirements, instrumentation, lineage, and data quality standards
• Apply advanced analytical and modeling techniques to identify trends, uncover insights, and support data-driven decisions
• Develop reusable frameworks and patterns that integrate data seamlessly into processes, applications, and decision workflows
• Translate complex analytical findings into clear, compelling insights for partners and senior leaders
• Identify key performance drivers and operational signals to surface risks, improvement opportunities, and prioritization levers
• Demonstrate strong critical thinking and structured problem solving, from ambiguous business questions to actionable data solutions
• Operate with a high degree of ownership, while collaborating across cross-functional pods and technical teams
• Contribute to a culture that values curiosity, technical rigor, elegant simplicity, and shared success

• 7+ years of experience in Data Engineering, Data Science, Applied Analytics, or similar hybrid roles
• Proven ability to design and optimize data pipelines and datasets for analytics and ML use cases
• Strong proficiency in Python and SQL, with experience in distributed processing frameworks (e.g., Spark / Databricks)
• Experience working with large cross-functional data ecosystems, including data collection, instrumentation, and quality standards
• Ability to monitor, assess, and improve data quality, including anomaly detection, data validation, and lineage
• Demonstrated ability to synthesize needs across data science, BI, engineering, and product partners into cohesive data strategies

• Strong communication skills — able to adjust messaging for technical and non-technical audiences
• Highly collaborative and grounded, invested in collective outcomes rather than individual credit
• Master’s degree in Data Science, Computer Science, Engineering, Information Systems, or equivalent practical experience

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 $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Employees also have the opportunity to become a shareholder through participation in ’s discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in ’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 , 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 Benefits.

Note: benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

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Accepts applications to this posting on an ongoing basis.