Mid Level Data Science Specialist Jobs

Mid level data science specialist jobs call for professionals ready to own analytical pipelines end to end, translate complex findings into decisions, and guide junior teammates without constant oversight. Openings cover remote, hybrid, and on-site settings 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 roles26
Top stateCalifornia
Top employerCapital One
Top citySan Jose, CA
Work type58% On-site
Top industryConsulting

Showing 4 of 26+ Mid Level Data Science Specialist 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 6d 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 6d 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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Mid Level Data Science Specialist 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
  • Banking & Financial Services
  • Healthcare & Medical Services

Mid Level Data Science Specialist Jobs: Frequently Asked Questions

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

Position yourself around ownership, not just contribution. Highlight projects where you drove the methodology, delivered a model or analysis to stakeholders, or improved a production pipeline with measurable results. Tailor your resume to show cross-functional collaboration and decision-support work, not only technical tasks. Certifications in machine learning frameworks or cloud platforms can reinforce your depth when competing for mid level roles.

Which companies hire mid level data science specialists?

Companies hiring mid level data science specialists right now include Capital One, Biogen, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. Mid level openings tend to concentrate at technology firms, financial services companies, healthcare systems, and large retailers that run established data science teams with enough scale to support a dedicated specialist role.

Are there remote mid level data science specialist jobs?

Yes, remote work is well established at this level. About 42% of mid level data science specialist openings are remote or hybrid as of November 2026, reflecting strong employer comfort with distributed data teams. On-site roles are more common at companies with sensitive data infrastructure or in industries like healthcare and finance that prioritize in-person collaboration.

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

Moving from entry level to mid level takes deliberate expansion of scope over your first few years. Focus on owning a project or model from framing through deployment rather than completing assigned tasks. Build fluency in production tooling, version control, and stakeholder communication alongside your core analytical skills. Demonstrating measurable impact, such as a model that reduced error rates or shortened a decision cycle, signals readiness for mid level responsibility.

Which industries hire the most mid level data science specialists?

Mid Level data science specialist roles concentrate in Consulting & Professional Services, Technology & Software, and Distribution & Wholesale, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in data science at the mid level because they have enough historical data, established tooling, and ongoing product or operational questions to keep a specialist engaged on sustained, high-impact work rather than one-off projects.