Senior Data Science Manager - Strategic Data Solutions

Apple Inc.; Austin (TX); On-site; USD 191,000 - 288,000; Full time

Benefits offered by this job

Medical & dental coverage

Retirement benefits

Discounted products & services

Education expense reimbursement

Bonuses or relocation

Job summary

Apple Inc. in Cambridge, MA seeks a Senior Data Science Manager to lead a high‑caliber analytics team spanning analytics engineering and experimentation, driving data‑driven decision making across functions.

You will ensure data integrity across systems, guide the design of scalable data pipelines, and mentor engineers while partnering with cross‑functional leaders to translate insights into business outcomes.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 7+ years in data science, analytics engineering, or similar roles.
• 2+ years leading data-focused teams.
• SQL and at least one programming language (Python or R).
• Strong background in experimentation design, causal inference, and statistics.
• Experience with large-scale data pipelines and production analytics.
• Proven ability to drive business impact through data and automation.

Responsibilities

• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation.
• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization.
• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources.
• Design and implement robust monitoring, alerting, and health check programs for data and model performance at scale.
• Drive experimentation and statistical analysis to inform decision-making across business domains and partner with cross-functional leaders.

Skills

SQL

Python

R

Experimentation design

Statistics

Data storytelling

Large-scale data pipelines

Production-level analytics

Education

Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or related field

Tools

Spark

Snowflake

Airflow

ML Ops tooling

Job description

Senior Data Science Manager – Strategic Data Solutions

Cambridge, Massachusetts, United States Corporate Functions

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Description

• Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation
• Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization
• Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources
• Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale
• Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives
• Evangelize data science best practices and help embed a data-informed culture across teams
• Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes

Minimum Qualifications

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
• 7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
• 2+ years of experience leading and mentoring data-focused teams
• Proficiency in SQL and at least one programming language (e.g., Python, R)
• Strong background in experimentation design, causal inference, and statistical analysis
• Experience working with large-scale data pipelines and production-level analytics systems
• Proven ability to drive measurable business impact through data and automation

Preferred Qualifications

• Experience with building robust monitoring systems to track data and model health in production
• Expertise in data storytelling and creating stakeholder‑ready visualizations and narratives
• Ability to connect insights to business outcomes and influence strategy
• Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling
• Passion for fostering inclusive team environments and valuing diverse perspectives
• Clear communicator who can translate complex technical concepts into actionable business language

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $191,300 and $287,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

• 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

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Apple accepts applications to this posting on an ongoing basis.