Senior Data Science Manager, Strategic Data Solutions

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cambridge, MA
Salary
$191,300–$287,800 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $240k
$106k most similar roles pay here $307k

This role pays more than 87% of similar roles. Most pay $145,200–$213,470 — the shaded band above. At the midpoint, this role pays about $240k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

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

The Senior Data Science Manager – Strategic Data Solutions joins the Strategic Data Solutions team to build and lead a diverse group of senior individual contributors specializing in analytics and experimentation. This leader will manage professionals across analytics engineering and experimentation, overseeing data transformation, integration from multiple sources, and the creation of robust monitoring and alerting programs for model performance at scale. The role involves partnering with machine learning engineering leaders to deliver high-impact science that powers decision automation and optimizes performance across various business goals. Key responsibilities include driving statistical analysis, causal inference, and data storytelling to inform strategic decisions. Required technical skills include proficiency in SQL, Python or R, and experience with large-scale data pipelines, Spark, Snowflake, Airflow, and ML Ops tooling to solve complex problems regarding data integrity and automated decision-making.

What you'll do

  • Hire, grow, and lead a high-caliber team of data professionals specializing 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 integrity and consistency across systems.
  • Design and implement robust monitoring, alerting, and health check programs for data and model performance at scale.
  • Drive experimentation and statistical analysis to uncover actionable insights for decision-making across business domains.
  • Partner with machine learning engineering leaders to deliver high-impact science that powers 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.
  • Ability to translate complex technical concepts into actionable business language for stakeholders.
  • Familiarity with modern data platforms like Spark, Snowflake, and Airflow, as well as ML Ops tooling.

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