Mid Level Data Science Manager Jobs

Mid level data science manager jobs go to professionals ready to own analytical projects end to end, guide junior team members, and shape data-driven decisions without close supervision. Openings run across Consulting & Professional Services, Technology & Software, and Distribution & Wholesale, with employers like Capital One, Biogen, and Amazon Web Services hiring at this level now.

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Overview

Open roles25
Top stateCalifornia
Top employerCapital One
Top citySan Jose, CA
Work type61% On-site
Top industryConsulting

Showing 5 of 25+ Mid Level Data Science Manager jobs

Data Science Manager
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Added 1w ago
Data Science Manager
TikTok USDS Joint Venture
Seattle, Washington
Data Science & Analytics
Software Engineering
Cybersecurity
Project & Program Management
Data Science
$376k/yr
On-Site
Bachelor's

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Data Science Manager
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Added 1w ago
Data Science Manager
TikTok USDS Joint Venture
San Jose, California
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
$201k - $395k/yr
On-Site
Bachelor's

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Senior Data Science Domain Analyst
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Added 1w ago
Senior Data Science Domain Analyst
Simplot Company
Boise, Idaho
Data Science & Analytics
Business Analysis
Project & Program Management
Software Engineering
Data Science
Project Management
AI (Artificial Intelligence)
On-Site
Bachelor's
10,000+

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Principal Associate, Data Science
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Added 2w ago
Principal Associate, Data Science
Capital One
McLean, Virginia
Data Science & Analytics
Data Science
Data Analytics
$185k/yr
On-Site
Bachelor's
10,000+

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Lead of Digital Marketing Measurement and Data Science
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Added 3w ago
Lead of Digital Marketing Measurement and Data Science
Biogen
Cambridge, Massachusetts
Data Science & Analytics
Marketing
Data Science
Growth Marketing
$139k - $186k/yr
On-Site
Bachelor's
5,001-10,000

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Mid Level Data Science Manager Job Market

Who's Hiring

Capital One4 open roles
Biogen3 open roles
Amazon Web Services3 open roles

Top Industries Hiring

  • Consulting & Professional Services
  • Technology & Software
  • Distribution & Wholesale
  • Healthcare & Medical Services
  • Retail

Mid Level Data Science Manager Jobs: Frequently Asked Questions

How do I get a mid level data science manager job?

Position yourself around ownership, not just execution. Highlight projects where you drove decisions, defined methodology, and delivered measurable results independently. Emphasize any mentoring or cross-functional collaboration you led. Tailor your resume to show scope, not just tasks, and make sure your portfolio reflects work where you were accountable for outcomes, not only a contributor to them.

Which companies hire mid level data science managers?

Companies hiring mid level data science managers right now include Capital One, Biogen, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers established enterprises with mature data teams and growth-stage companies building out their analytics functions.

Are there remote mid level data science manager jobs?

Yes, remote and hybrid options are widely available at this level. About 39% of mid level data science manager openings are remote or hybrid as of November 2026, reflecting how many organizations have normalized flexible arrangements for data roles that require deep focus and cross-functional collaboration rather than a fixed on-site presence.

How do I move up to a mid level data science manager role?

Growth from entry level to mid level comes from accumulating project ownership over time. Start by volunteering to lead scoped workstreams, taking responsibility for model quality and business impact, and building a reputation for reliable delivery. Deepening a specialization, such as experimentation, forecasting, or NLP, and demonstrating that you can guide others through problems accelerates the transition.

Which industries hire the most mid level data science managers?

Mid Level data science manager roles concentrate in Consulting & Professional Services, Technology & Software, and Distribution & Wholesale, based on current listings on Migrate Mate as of November 2026. These sectors generate large, complex datasets and operate at a scale where dedicated managers who can bridge technical work and business strategy are consistently in demand.