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 Technology & Software, Biotechnology & Pharmaceuticals, and Construction & Real Estate, with employers like AbbVie, Forward Edge AI, and Citi hiring at this level now.

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Overview

Open roles15
Top stateIllinois
Top employerAbbVie
Top cityTampa, FL
Work type88% On-site
Top industryTechnology

Showing 5 of 15+ Mid Level Data Science Lead jobs

C
SEDP Data Science & Analytics Task Lead
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C
New 1m ago
SEDP Data Science & Analytics Task Lead
career page
Tampa, Florida
Business Analysis
Business Analyst
Data Analytics
Finance
$190k - $240k/yr
On-Site

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F
Data Science, AI & Analytics Lead
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F
New 1m ago
Data Science, AI & Analytics Lead
Forward Edge AI
Fayetteville, North Carolina
Business Analysis
Project & Program Management
Project Management
On-Site
Master's degree

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F
Data Science, AI & Analytics Lead
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F
New 1m ago
Data Science, AI & Analytics Lead
Forward Edge AI
Mountain View, California
Data Analytics
IT Support
Technical Program Management
Master's degree

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F
Data Science, AI & Analytics Lead
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F
New 1m ago
Data Science, AI & Analytics Lead
Forward Edge AI
Burlington, New Jersey
Business Analysis
Data Analytics
Project Management
On-Site
Master's degree

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AbbVie
Data Science Program Lead I
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AbbVie
New 1m ago
Data Science Program Lead I
AbbVie
Irvine, California
Biotech & Life Sciences
Clinical Trials
Healthcare Administration
Research & Academia
$85k - $162k/yr
Bachelor's degree in management information systems
10,000+

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Mid Level Data Science Lead Job Market

Who's Hiring

  • AbbVie
    AbbVie3
  • F
    Forward Edge AI3
  • Citi
    Citi2
  • Perdue
    Perdue1
  • Klaviyo
    Klaviyo1

Top Industries Hiring

  • Technology & Software4
  • Biotechnology & Pharmaceuticals3
  • Construction & Real Estate2
  • Banking & Financial Services2
  • Investment & Asset Management2

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 AbbVie, Forward Edge AI, and Citi, based on current listings on Migrate Mate as of July 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 13% of mid level data science lead openings are remote or hybrid as of July 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 Technology & Software, Biotechnology & Pharmaceuticals, and Construction & Real Estate, based on current listings on Migrate Mate as of July 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.