Subscriptions Marketing Data Scientist - Culver City, CA

Culver City, CA 90232
  • Job Code
    200169496
  • Jobs Rated
    7th
Summary

Summary

Posted: May 6, 2020

Role Number:200169496

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a results-...Summary

Summary

Posted: May 6, 2020

Role Number:200169496

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a results-oriented, passionate individual who is not afraid of challenges, we're looking for you.

Apple is seeking an experienced Data Scientist who is passionate about inspiring change through the intersection of data and marketing. As a Subscriptions Marketing Data Scientist, you will help drive growth across Services through attribution, A/B test optimization, and prediction/modeling. This role will involve working with Internet-scale data across numerous customer touch points, undertaking in-depth quantitative analysis, and delivering impactful data products that drive key marketing decisions.

Apple Media Products Data Science encourages independent decision-making and taking smart risks. Our culture is centered around rapid iteration with open feedback and debate along the way. We collaborate with partners across Marketing, Engineering, and Business teams: our mission is to drive innovation at Apple through deep quantitative research of the App Store, Apple Music, Apple TV, and Apple Arcade amongst other services.

Key Qualifications

  • 3+ years of experience as a Data Scientist or Data Analyst. Preferably for a digital media, MarTech, digital subscription, and/or technology business.
  • Strong proficiency with SQL, Python or R. Experience with data visualization tools such as Tableau a plus.
  • Experience with large scale analytics technologies such as Hadoop and Spark preferred. Knowledge of cloud and real-time orchestration technologies such as Kubernetes a plus!
  • We seek experience in experimentation design, A/B testing, propensity score analysis, linear regression and/or probabilistic modeling.
  • Solid understanding of statistics, probability distributions, and likelihood estimations for optimization. Applied experience in optimizing test methods through multi-arm bandit and Bayesian approaches a plus.
  • Curious business attitude with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Proven ability to take on projects with a sense of ownership and results-oriented attitude.
  • Excellent communication, social and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to deliver results on time.

Description

Investigate large-scale data to uncover trends and identify key insights that will propel Services marketing strategy.

Craft how best to monitor, measure and understand Subscriptions marketing performance.

Build multi-touch attribution models across various marketing touch points that will serve as benchmarks for optimization.

Partner with stakeholders to optimize key channels and signup funnel efficiency through UX and algorithmic experimentation.

Apply statical rigor to readouts using generally accepted methods of confidence testing and present such insights to partners and executive management.

Collaborate with the ML Data Science team to incorporate production machine learning models into campaigns, customer journeys and signup funnels plus measure their benefits.

Regularly work with data engineering and BI teams to productionalize datasets and automated dashboards to scale channel, campaign and signup funnel performance monitoring/management.

Education & Experience
- Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Ideally, Masters or PhD in related field.

Additional Requirements

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Subscriptions Marketing Data Scientist - Culver City, CA

Apple, Inc.
Culver City, CA 90232

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220