Senior Data Science Manager, Strategic Data Solutions

Apple Inc

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Quick summary

Work type: On-site
Location: Austin, TX
Posted: 96 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $184k

$125k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $152,346–$214,900.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Data Science Manager, Strategic Data Solutions

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The Senior Data Science Manager – Strategic Data Solutions will lead a diverse team of senior individual contributors specializing in analytics and experimentation. This leadership role involves hiring and mentoring data professionals to deliver high-impact science and analytics that power decision automation and optimize performance across various business goals. Key responsibilities include overseeing data transformation and integration from multiple sources, ensuring data integrity, and designing robust monitoring and alerting programs for model performance. The role requires proficiency in SQL, Python, or R, alongside expertise in experimentation design, causal inference, and statistical analysis. Candidates must manage large-scale data pipelines and production-level analytics systems using tools like Spark, Snowflake, and Airflow. The position focuses on solving complex business problems through data storytelling and embedding a data-informed culture.

What does a Data Science Manager earn?

Median $211200 from 43 postings across 13 companies.

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Skills

SQL Python R Spark Snowflake Airflow ML Ops Causal Inference Statistical Analysis Data Pipelines Experimentation Design Data Transformation Monitoring Systems

What you'll do

Hire, grow, and lead a high-caliber team of data professionals in analytics engineering and experimentation.
Guide team members in delivering data storytelling, architecture guidance, and performance optimization.
Oversee data transformation and integration from multiple sources to ensure data integrity and consistency.
Design and implement robust monitoring, alerting, and health check programs for data and model performance.
Drive experimentation and statistical analysis to uncover actionable insights across business domains.
Partner with machine learning engineering leaders to deliver science and analytics that power decision automation.
Evangelize data science best practices to embed a data-informed culture across the organization.

What we're looking for

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 such as Python or R.
Strong background in experimentation design, causal inference, and statistical analysis.
Experience working with large-scale data pipelines and production-level analytics systems.
Experience with building robust monitoring systems to track data and model health in production (preferred).
Familiarity with modern data platforms like Spark, Snowflake, Airflow and ML Ops tooling (preferred).