Data Scientist, Apps

AppleCupertino, CA
69d$141,800 - $213,700

About The Position

The Apps Data Science team is looking for an outstanding Data Scientist who will focus on applied research, exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of predictive behavior and life cycle analytics. We support user growth of subscription services, product and feature development, content expansion, and optimization. We cover a wide area of the data spectrum including statistical modeling, causal inference, machine learning, and product analytics.

Requirements

  • M.Sc. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas.
  • ~4 years experience in the field of data science, with ~2 years experience leading the development of data products, insights, and building machine learning modeling capabilities.
  • Proficient in writing code in a combination of the following languages: C++, R, Java, Python, Perl, Hadoop (MapReduce, Hive, Spark SQL), and SQL.
  • Practical experience and thorough theoretical understanding of advanced quantitative methods, statistical & machine learning model development, including regression, classification, clustering, anomaly detection, time-series analysis, deep learning, and ground breaking AI tools.
  • Excellent presentation skills, distilling sophisticated analysis and concepts into concise business-focused takeaways.
  • Strong skills in managing priorities and collaborating with diverse groups of collaborators, including engineering, product, business, design, etc.
  • Ability to extract product insights from data and identify the stories behind the patterns.
  • Practical experience solving real-world problems using creative methods and researching state-of-the art.
  • Delivery-oriented, able to lead and implement modeling efforts from start to finish.
  • Excellent interpersonal skills, and a self starter.

Nice To Haves

  • Ph.D. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas.
  • Strong product sense and a passion for user experience.

Responsibilities

  • Develop models and provide insights to evaluate product launches and identify development opportunities.
  • Partner with engineers, product teams, business leaders, designers, and others to enhance user experiences and drive business growth.
  • Engage with business teams to find opportunities, understand requirements, and convert them into technical solutions.
  • Oversee large projects from start to finish, assess risks, and evaluate impact, while maintaining regular communication with collaborators and leadership.
  • Work with large datasets using tools like Spark SQL, command line, and scripting languages.
  • Conduct hypothesis-driven exploratory analysis, feature engineering, and select suitable AI/ML modeling techniques.
  • Design and maintain predictive models and pipelines using advanced machine learning and data modeling techniques.
  • Explore supervised and unsupervised ML/AI solutions with structured and unstructured data.
  • Effectively convey complex concepts and analysis results to senior management.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • A range of discounted products and free services
  • Reimbursement for certain educational expenses — including tuition
  • Opportunity to participate in Apple's discretionary employee stock programs
  • Eligibility for discretionary bonuses or commission payments
  • Relocation assistance

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What This Job Offers

Career Level

Mid Level

Industry

Computer and Electronic Product Manufacturing

Education Level

Master's degree

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