Staff Data Scientist, Apps Team

Position Overview

The Applications Data Science team is seeking an experienced staff-level data scientist to build machine learning modeling capabilities and lead the development of impactful data products and insights. This role supports user growth for subscription services, product and feature development, content expansion, and optimization across a broad data spectrum including statistical modeling, causal inference, and product analytics.

Key Responsibilities

• Engage with business teams to identify opportunities and translate requirements into technical solutions.
• Manage large, sophisticated projects from conception to completion, identifying risks and evaluating impact.
• Develop, validate, and maintain advanced predictive models and analytical tools.
• Collaborate with data engineers to implement robust production decision pipelines.
• Formulate innovative solutions using sophisticated data mining techniques.
• Measure the impact of growth initiatives to improve user acquisition, conversion, and retention.
• Influence peers with modeling frameworks and statistical methods to derive meaningful insights.

Required Qualifications

• 2+ years at the staff level as a data scientist with proven experience in data product development and building machine learning models.
• 6+ years of overall industry experience in data science, statistics, and/or modeling.
• Practical experience with advanced quantitative methods, including regression, classification, clustering, anomaly detection, time-series analysis, and deep learning.
• Excellent presentation skills with the ability to distill complex analysis into concise, business-focused insights.
• Strong collaboration skills working with diverse teams such as engineering, product, business, and design.
• Familiarity with data tools like Hadoop, Spark, Hive, etc.
• Ability to extract actionable product insights from data and identify underlying patterns.
• Bachelor's degree in Statistics, Applied Mathematics, Machine Learning, Computer Science, Predictive Analytics, or related field, or equivalent experience.

Preferred Qualifications

• M.Sc. or Ph.D. in Statistics, Applied Mathematics, Machine Learning, Computer Science, Predictive Analytics, or a related field.
• A strong product sense and a passion for enhancing user experience.

Benefits & Perks

• Compensation: Base pay range between $157,000 and $278,900, determined by skills, qualifications, experience, and location.
• Equity & Stock Programs: Eligibility for Apple’s restricted stock unit awards and participation in the Employee Stock Purchase Plan.
• Health & Wellbeing: Comprehensive medical and dental coverage along with retirement benefits.
• Additional Perks: Discounted products, free services, educational reimbursement for career advancement, and potential bonuses or relocation assistance.