Data Scientist - Strategic Data Solutions

The Apple Store Online team is seeking a Data Scientist - Strategic Data Solutions based in Cambridge, MA to help turn data into practical protection against fraud. In this onsite role, you will build and evaluate fraud and assessment models, improve how alerts are produced, and support feature and product evaluation using causal inference and advanced analytics.

What you’ll do

• Deliver data-driven insights aimed at fighting fraud.
• Develop and refine fraud and evaluation models.
• Research and develop evaluation methods to address fraud.
• Design and execute observational and experimental studies using causal inference.
• Drive feature evaluation and contribute insights that inform the product roadmap.
• Evaluate product launches using rigorous analytical approaches.
• Solve complex, non-routine analysis problems with statistical, machine learning, and advanced analytics.
• Develop automated solutions that deliver timely alerts and insights.
• Find opportunities for future development by applying advanced scientific methods.
• Work with engineers, product, program, and business leaders, plus other teams, to create better customer experiences.
• Work with large, complex data sets to support model development and evaluation.

Requirements

• At least 3 years of experience working as a Data Scientist.
• Master’s degree in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science, or equivalent.
• Proficiency in data querying using SQL, Spark, or equivalent technologies.
• Proficiency in scripting languages for data processing and analysis (e.g., Python, R, or Scala).
• Excellent communication and multi-functional collaboration skills, including the ability to convey complex concepts to diverse audiences.

Technologies

• SQL
• Spark
• Python
• R
• Scala
• LLMs

Preferred qualifications

• PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science, or equivalent.
• Experience applying LLMs to technical problems such as data analysis and data automation, including synthetic data generation with proven ability to optimize model performance for accuracy and efficiency.
• Excellent product intuition, including awareness of design and customer pain points.
• Experience developing anomaly detection and causal inference models.

Compensation & benefits

Base pay range: USD 130,200 - 196,200 per year.

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments, as well as relocation
• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount through the Apple Employee Stock Purchase Plan