Mid Level Data Science Lead Jobs

Mid level data science lead jobs go to professionals ready to own analytical projects end to end, guide junior teammates, and shape data-driven decisions with minimal day-to-day oversight. Openings are predominantly remote and hybrid 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 Lead jobs

Data Science Manager
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Added 6d 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 Lead 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 Lead Jobs: Frequently Asked Questions

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

Position your experience around ownership, not just contribution. Highlight projects where you defined the approach, delivered results, and influenced business decisions, not just tasks you completed. Emphasize any mentoring, cross-functional collaboration, or model deployment work. Tailor your resume to show measurable impact, and apply to roles where the job description asks for independent problem-solving rather than supervised execution.

Which companies hire mid level data science leads?

Companies hiring mid level data science leads 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 both large enterprises with dedicated data teams and fast-growing mid-size companies building out analytical infrastructure for the first time.

Are there remote mid level data science lead jobs?

Yes, remote and hybrid options are common at this level. About 39% of mid level data science lead openings are remote or hybrid as of November 2026, reflecting how broadly employers have accepted distributed data teams. Filtering for remote roles on Migrate Mate lets you see current openings without restricting yourself to a single metro area.

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

Growing into a mid level data science lead role means deepening technical skills in modeling, experimentation, or data engineering while taking on progressively larger ownership. Volunteering to lead a project, mentor a peer, or present findings to stakeholders builds the track of independent impact that hiring managers look for. Consistent delivery on owned workstreams, not just task completion, is what signals readiness for this level.

Which industries hire the most mid level data science leads?

Mid Level data science lead roles concentrate in Consulting & Professional Services, Technology & Software, and Distribution & Wholesale, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they generate large volumes of proprietary data and need professionals who can move from raw analysis to actionable insight with limited supervision.