Senior Level Data Science Analyst Jobs

Senior level data science analyst jobs put experienced professionals in charge of analytical strategy, modeling pipelines, and the cross-functional teams or projects that translate data into decisions. Hiring concentrates across Technology & Software, Banking & Financial Services, and Biotechnology & Pharmaceuticals, with 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 Analyst 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 Analyst 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 Analyst Jobs: Frequently Asked Questions

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

Employers hiring at this level want candidates who have owned analytical projects end to end, not just contributed to them. Demonstrating that you have shaped methodology, presented findings to executive stakeholders, and mentored junior analysts gives you a clear edge. A portfolio showing business impact, not just technical output, is what moves senior candidates to the top of a shortlist.

Which companies hire senior level data science analysts?

Companies hiring senior level data science analysts right now include Meta, Adobe, and Capital One, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large enterprises and fast-scaling organizations that need analysts who can lead work independently rather than operate under close supervision.

Are there remote senior level data science analyst jobs?

Yes, remote and hybrid options are widely available at this level. About 47% of senior level data science analyst openings are remote or hybrid as of July 2026, reflecting strong employer demand for experienced candidates regardless of location. Senior roles are among the most flexible because the expectation is autonomous delivery, which translates well to distributed work.

What makes a data science analyst role senior level?

Senior level roles are defined by scope and ownership. Where a mid-level analyst executes defined tasks, a senior analyst owns the problem framing, selects the methodology, and is accountable for the outcome. Expectations typically include leading workstreams, collaborating directly with business leadership, and mentoring analysts earlier in their careers. Technical depth alone is not enough without the ability to drive decisions.

Which industries hire the most senior level data science analysts?

Senior level data science analyst 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 generate large, complex datasets and need analysts who can independently structure analytical programs rather than support existing ones.