Subscriptions & Commerce Data Scientist
Apple
Subscriptions & Commerce Data Scientist
Job Description
At Apple, our Services help hundreds of millions of people get the most from the devices they love—whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science & Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth—while honoring Apple’s deep commitment to user privacy. We are seeking a Subscriptions & Commerce Data Scientist to design, analyze, and optimize on commerce initiatives including offers, billing retry, and other subscription mechanics. You’ll play a pivotal role in understanding and improving how customers transact with our services, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of Services at Apple through innovative, customer-first approaches—and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration. Collaborate with cross-functional teams (Business, Engineering, Product, Finance, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting. Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve subscription mechanics. Build data products that lead to developer success. Apply statistical methods and build predictive models, including LTV and propensity models, to support multiple and often interrelated subscription initiatives. Evaluate the incremental impact of subscription initiatives using causal inference and testing methodologies. Explore how emerging technologies, such as generative AI, can be applied to create business value. Partner with teams across Apple to support responsible data collection, governance, and access.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data scienceintermediate
- analyticsintermediate
- designing commerce initiativesintermediate
- analyzing dataintermediate
- optimizing subscription mechanicsintermediate
- working with large-scale dataintermediate
- cross-functional collaborationintermediate
- defining key metricsintermediate
- defining data requirementsintermediate
- building models for analysisintermediate
- experimentationintermediate
- reportingintermediate
- investigating large-scale datasetsintermediate
- identifying trendsintermediate
- measuring impactintermediate
- generating insightsintermediate
- building data productsintermediate
- applying statistical methodsintermediate
- building predictive modelsintermediate
- LTV modelsintermediate
- propensity modelsintermediate
- causal inferenceintermediate
- testing methodologiesintermediate
- exploring emerging technologiesintermediate
- generative AIintermediate
- responsible data collectionintermediate
- data governanceintermediate
- data accessintermediate
Required Qualifications
- 5+ years of experience as a Data Scientist or Analyst in digital media, subscription, or fintech environments, with a proven track record of business measurement and optimization. (experience, 5 years)
- Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data. (experience)
- Applied expertise in statistics, probability, and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference. (experience)
- Demonstrated project ownership with an ability to condense & communicate complex data into clear, actionable business insights for cross-functional stakeholders. (experience)
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience. (experience)
Preferred Qualifications
- Quantitative expertise in understanding the economics of subscription businesses. (experience)
- Experience in a digital subscription or large-scale e-commerce business. (experience)
- Master’s in a quantitative field is a plus, but not required. (degree in a quantitative field is a plus)
Responsibilities
- Collaborate with cross-functional teams (Business, Engineering, Product, Finance, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting.
- Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve subscription mechanics.
- Build data products that lead to developer success.
- Apply statistical methods and build predictive models, including LTV and propensity models, to support multiple and often interrelated subscription initiatives.
- Evaluate the incremental impact of subscription initiatives using causal inference and testing methodologies.
- Explore how emerging technologies, such as generative AI, can be applied to create business value.
- Partner with teams across Apple to support responsible data collection, governance, and access.
- Design and build datasets, reports, and dashboards to monitor commerce platform performance at scale.
- Conduct ad-hoc analyses to support major business initiatives within services.
- Communicate insights and recommendations to Marketing, Business, Finance, Product, and Executive stakeholders to help inform future ecosystem iterations and strategy.
Tags & Categories
Answer 10 quick questions to check your fit for Subscriptions & Commerce Data Scientist @ Apple.
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~2 Minutes
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Subscriptions & Commerce Data Scientist
Apple
Subscriptions & Commerce Data Scientist
Job Description
At Apple, our Services help hundreds of millions of people get the most from the devices they love—whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science & Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth—while honoring Apple’s deep commitment to user privacy. We are seeking a Subscriptions & Commerce Data Scientist to design, analyze, and optimize on commerce initiatives including offers, billing retry, and other subscription mechanics. You’ll play a pivotal role in understanding and improving how customers transact with our services, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of Services at Apple through innovative, customer-first approaches—and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration. Collaborate with cross-functional teams (Business, Engineering, Product, Finance, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting. Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve subscription mechanics. Build data products that lead to developer success. Apply statistical methods and build predictive models, including LTV and propensity models, to support multiple and often interrelated subscription initiatives. Evaluate the incremental impact of subscription initiatives using causal inference and testing methodologies. Explore how emerging technologies, such as generative AI, can be applied to create business value. Partner with teams across Apple to support responsible data collection, governance, and access.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data scienceintermediate
- analyticsintermediate
- designing commerce initiativesintermediate
- analyzing dataintermediate
- optimizing subscription mechanicsintermediate
- working with large-scale dataintermediate
- cross-functional collaborationintermediate
- defining key metricsintermediate
- defining data requirementsintermediate
- building models for analysisintermediate
- experimentationintermediate
- reportingintermediate
- investigating large-scale datasetsintermediate
- identifying trendsintermediate
- measuring impactintermediate
- generating insightsintermediate
- building data productsintermediate
- applying statistical methodsintermediate
- building predictive modelsintermediate
- LTV modelsintermediate
- propensity modelsintermediate
- causal inferenceintermediate
- testing methodologiesintermediate
- exploring emerging technologiesintermediate
- generative AIintermediate
- responsible data collectionintermediate
- data governanceintermediate
- data accessintermediate
Required Qualifications
- 5+ years of experience as a Data Scientist or Analyst in digital media, subscription, or fintech environments, with a proven track record of business measurement and optimization. (experience, 5 years)
- Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data. (experience)
- Applied expertise in statistics, probability, and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference. (experience)
- Demonstrated project ownership with an ability to condense & communicate complex data into clear, actionable business insights for cross-functional stakeholders. (experience)
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience. (experience)
Preferred Qualifications
- Quantitative expertise in understanding the economics of subscription businesses. (experience)
- Experience in a digital subscription or large-scale e-commerce business. (experience)
- Master’s in a quantitative field is a plus, but not required. (degree in a quantitative field is a plus)
Responsibilities
- Collaborate with cross-functional teams (Business, Engineering, Product, Finance, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting.
- Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve subscription mechanics.
- Build data products that lead to developer success.
- Apply statistical methods and build predictive models, including LTV and propensity models, to support multiple and often interrelated subscription initiatives.
- Evaluate the incremental impact of subscription initiatives using causal inference and testing methodologies.
- Explore how emerging technologies, such as generative AI, can be applied to create business value.
- Partner with teams across Apple to support responsible data collection, governance, and access.
- Design and build datasets, reports, and dashboards to monitor commerce platform performance at scale.
- Conduct ad-hoc analyses to support major business initiatives within services.
- Communicate insights and recommendations to Marketing, Business, Finance, Product, and Executive stakeholders to help inform future ecosystem iterations and strategy.
Tags & Categories
Answer 10 quick questions to check your fit for Subscriptions & Commerce Data Scientist @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs