Senior Level Data Science Engineer Jobs

Senior level data science engineer jobs place experienced practitioners in charge of modeling strategy, production system ownership, and the cross-functional teams that ship and scale data-driven products. Openings concentrate heavily in Technology & Software, Banking & Financial Services, and Biotechnology & Pharmaceuticals, with a mix of remote, hybrid, and on-site roles, and employers like Meta, Adobe, and Capital One hiring at this level now.

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Overview

Open roles181+
Top stateCalifornia
Top employerMeta
Top citySan Francisco, CA
Work type53% On-site
Top industryTechnology

Showing 5 of 181+ Senior Level Data Science Engineer jobs

Merck
Director, Oncology Data Science
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Merck
New 1m ago
Director, Oncology Data Science
Merck
Boston, Massachusetts
Business Strategy
Product Management
Project Management
$194k - $306k/yr
Master's degree in bioinformatics
10,000+

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Meta
Data Science Director
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Meta
New 1m ago
Data Science Director
Meta
Bellevue, Washington
AI (Artificial Intelligence)
Data Analytics
Data Science
$253k - $314k/yr
10,000+

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Meta
Data Science Director
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Meta
New 1m ago
Data Science Director
Meta
Menlo Park, California
Business Strategy
Marketing
Product Marketing
$253k - $314k/yr
10,000+

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Novartis
Associate Director, Data Science
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Novartis
New 1m ago
Associate Director, Data Science
Novartis
Cambridge, Massachusetts
Brand Marketing
Creative & Design
Marketing
$160k - $298k/yr
Master of Science
10,000+

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Merck KGaA
Associate Director in Data Science, Digital Endpoints Pharma R & D (Billerica MA)
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Merck KGaA
New 1m ago
Associate Director in Data Science, Digital Endpoints Pharma R & D (Billerica MA)
Merck KGaA
Billerica, Massachusetts
Creative & Design
Creative Direction
Marketing
Product Management
$131k - $249k/yr
On-Site
Doctoral degree in statistics
10,000+

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Senior Level Data Science Engineer Job Market

Who's Hiring

  • Meta
    Meta11
  • Adobe
    Adobe10
  • Capital One
    Capital One9
  • Lyft
    Lyft6
  • DoorDash
    DoorDash6

Top Industries Hiring

  • Technology & Software66
  • Banking & Financial Services14
  • Biotechnology & Pharmaceuticals12
  • Retail11
  • Insurance11

Senior Level Data Science Engineer Jobs: Frequently Asked Questions

How do I get a senior level data science engineer job?

Employers at this level look for candidates who have owned end-to-end ML pipelines in production, not just model development. Highlight decisions you made that shaped system architecture or business outcomes, and show experience mentoring junior engineers. A portfolio demonstrating scale, reliability, and cross-functional impact carries more weight than credentials alone.

Which companies hire senior level data science engineers?

Companies hiring senior level data science engineers right now include Meta, Adobe, and Capital One, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large technology firms, data-intensive enterprises in finance and healthcare, and growth-stage companies building out their first senior data science function.

Are there remote senior level data science engineer jobs?

Yes, remote and hybrid availability is strong at the senior level. About 47% of senior level data science engineer openings are remote or hybrid as of July 2026, reflecting how many organizations treat senior individual contributors as location-flexible hires who deliver independently without requiring daily on-site oversight.

What makes a data science engineer role senior level?

Senior level roles are defined by ownership and scope rather than task execution. You are expected to set technical direction for data systems, make architectural decisions with long-term consequences, and mentor engineers at earlier career stages. The work crosses team boundaries, requires stakeholder communication, and is evaluated on business outcomes rather than individual deliverables.

Which industries hire the most senior level data science engineers?

Senior Level data science engineer roles concentrate in Technology & Software, Banking & Financial Services, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they operate large-scale data infrastructure, face regulatory or competitive pressure to make faster data-driven decisions, and need experienced engineers who can own that complexity end to end.