Senior Data Science Manager – Strategic Data Solutions

Apple Inc.; Austin (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Apple seeks a Senior Data Science Manager in Austin to lead a diverse analytics team, partner with ML engineering, and drive data-powered decision making. You will guide data analytics, storytelling, and performance improvements across sources and systems, ensuring data integrity and scalable processes.

You will build a data-informed culture, oversee experimentation, and influence strategy with senior stakeholders, delivering measurable business impact and robust data platforms.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field.
• 7+ years of hands-on 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 (Python or R).
• Strong background in experimentation design, causal inference, and statistical analysis.

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.
• Design and implement monitoring, alerting, and health checks for data and model performance at scale.
• Drive experimentation and statistical analysis to uncover actionable insights for decision-making.
• Partner with cross-functional leaders to align analytics initiatives with strategic objectives.
• Evangelize data science best practices and embed a data-informed culture across teams.
• Lead through influence to enable scalable, high-impact outcomes.

Skills

SQL

Python

Experimentation design

Data storytelling

Leadership

Education

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

Tools

Spark

Snowflake

Airflow

Job description

Senior Data Science Manager – Strategic Data Solutions

Austin, Texas, 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.Apple’s Strategic Data Solutions team is looking for an accomplished data science and analytics leader to build and lead a diverse team of senior individual contributors who are experts in analytics and experimentation. You’ll primarily partner with machine learning engineering leaders to deliver high-impact science and analytics that power decision automation and optimize performance across a wide range of business goals.

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 domains
• Partner 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

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. Learn more about your EEO rights as an applicant

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.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.