Senior Data Scientist, Commerce Analytics for Apple Media Products

Apple Full Time Hyderabad, India Technology

Job Expired

Summary

Posted: 
Weekly Hours: 40
Role Number:200222932
At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. If you are a self-motivated and hardworking individual who is not afraid of challenges, we’re looking for you to join the Wallet, Payments & Commerce (WPC) Analytics organization. The WPC Analytics team supports all commerce, payments & subscription platforms across all of Apple’s Services business (App Store, iTunes, Music, Books, TV+, iCloud, Apple Wallet). You will be a thought partner to the business, understand their goals and then use your skills and domain expertise to surface meaningful insights that drive business and customer benefits. You will collaborate with partners across product, design, engineering, and business teams to drive your findings and recommendations into action. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here.
Key Qualifications
  • 10+ years of professional experience in a data science or product analytics, preferably in payments or commerce
  • Strong passion for empirical analytics, data mining, and predictive analytics to develop impactful insights.
  • Experience in measuring UX impact, customer engagement, planning and analyzing A/B experiments.
  • Ability to partner with the data engineering and BI teams to provide requirements and to create project roadmaps for consistent data availability, quality, and accessibility.
  • Excellent collaboration and communication skills for communicating sophisticated quantitative analyses in a clear and detailed manner to senior business executives.
  • Be a self-starter, driven, accountable, and a high-energy teammate.
  • Train, mentor and provide critical feedback to junior data scientists to attain team-mandate.
  • TECHNICAL SKILLS
  • Strong hands-on experience in ensuring data operations for large-scale data science and machine learning work.
  • Expert-level SQL skills with the ability to mine both structured/unstructured data. Ability to conceive and execute end-to-end scripted analytics solutions using SQL/TeraData and at least one large-scale data languages such as Scala or PySpark
  • Proven proficiency in data architecture covering scalable schema design, relational and non-relational database technologies, data warehousing principles, modern ETL, aggregation/ projection strategy, code management, and performance optimization.
  • Experience in data visualization tools such as Tableau for dashboard building.
  • Expertise in statistical data analysis for unsupervised & supervised learning algorithms, multivariate techniques and applied regression techniques.
  • Prior experience in working on payment products or large multinational marketplaces/e-commerce businesses.
  • Excellent communication and presentation skills with meticulous attention to detail and ability to communicate optimally between business and analytic teams.
Description
You will play a key role improving the AMP commerce & payments platform. As a member of this team you will help optimize the platform by developing new data products and tuning existing features. A few areas your work will influence include account and payment creation flows, transaction efficiency and authorizations, and subscription management and renewals. Your day to day activities will include: Deep dives in large-scale data to identify key insights that inform product improvements and business strategy. Supervised and unsupervised learning, A/B testing and causal modeling. Define how best to measure and supervise commerce products and features. Engage with business, engineering, product management teams as a partner. Build and maintain positive relationships with key partners across the company to successfully deliver significant insights. Partner with other Apple organizations on data gathering, data governance, democratizing data with reporting tools and evangelizing critical metrics.
Education & Experience
Minimum of bachelor’s degree, preferably in computer science, statistics, economics, mathematics, engineering, economics, or related quantitative field. Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
Additional Requirements
  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

More Information

  • Experience Level Junior
  • This job has expired!
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