Sr. Data Scientist, Experimentation

Position Overview

The applications data science team is looking for a seasoned data scientist focused on experimentation and exploratory analysis for conversion optimization and feature usage behavior. The role supports user growth for subscription services, product development, and optimization, covering A/B Testing, causal inference, and analytics.

Key Responsibilities

• Work on initiatives to improve user experience and drive growth while partnering closely with engineering, product, and machine learning teams.
• Experimentation: Improve experimentation quality, hypothesis generation, statistical techniques, rare event detection, and underlying infrastructure.
• Optimization: Perform hyper parameter optimization and conduct exploratory as well as ad-hoc analysis to improve customer experience.
• Advisory: Distill key findings from data and provide actionable recommendations to engineering, product, and business owners.

Required Qualifications

• At least 5 years of industry experience managing Controlled Experimentation.
• At least 3 years of experience with experiment design and hypothesis testing, applied statistics with experimentation optimization techniques, and variance reduction including rare event detection.
• Data mining skills with SQL, Scala, and PySpark; proficiency in Python or R.
• Master’s or PhD in Data Science, Statistics, Engineering, Applied Mathematics, or a related field.
• Exposure to consumer technology and a strong product acumen.
• Ability to collaborate with cross-functional teams including engineering, product, and business.
• Strong communication skills with experience in executive presentations.
• Adept at structuring and solving complex, open-ended problems.

Preferred Qualifications

• Experience in Statistical Modeling and Machine Learning.
• Expertise in anomaly detection and causal inference modeling.
• Proficiency in Java or C++ programming languages.
• Experience using git for version control.

Benefits & Perks

• Compensation: The base pay range for this role is between $163,300 and $290,100. Your base pay will depend on your skills, qualifications, experience, and location.
• Employee Stock Programs: Opportunity to participate in Apple’s discretionary employee stock programs, including restricted stock unit awards or discounted stock purchase through the Employee Stock Purchase Plan.
• Benefits: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, plus tuition reimbursement for educational expenses related to career advancement.
• Additional perks include eligibility for discretionary bonuses or commission payments and potential relocation assistance.
• Note: Apple’s benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.