Data Scientist Jobs — Insights from Data

Data Scientists extract insights from data to drive business decisions — using statistics, machine learning, and visualization. The role has evolved from pure analytics to include ML model building, experimentation design, and increasingly, LLM application development.

6 open positions$110,000 – $190,000/yr

All Open Positions

We don’t have exact data scientist jobs right now, but these positions use similar skills. Click any to see details, compare your resume, and apply.

B2B Lead Generation Specialist

TalentProof

remote
3336ad6bfd308c605c5ec7d83055c5d9:24512939d0258c1b53370303afd1195f666f3f1cee1d69289423afd68455ede5
part-time

UX/UI Designer with Visual Experience

TalentProof

remote
full-time

Chief Revenue Officer (CRO)

TalentProof

remote
0145b703b96dbc37385c8d941e0b85a2:188f0934bb8262deb2160a7e3a09721b
part-time

Community Beta Tester (Volunteer)

TalentProof

remote
c5fcf67b911408890a0853f0cdea5e6c:83df35744d7f6b0ce07b9b72fcb8b3f3e08290827b309d45caf370b0397309d4
contributor

Founding Head of People & Culture

TalentProof

remote
full-time

Founding Growth Marketer, (B2B SaaS)

TalentProof

remote
aefa5e97df67b76b5a4f61e2f3f8928a:c8ad4678044d57519e2587aea34fa484
full-time

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Frequently Asked Questions

Is Data Science still a good career in 2026?

Yes, though the role has evolved. Pure analytics roles are being augmented by AI tools, but Data Scientists who can build ML models, design experiments, and communicate insights remain highly valued. The intersection of data science and LLM applications is the fastest-growing niche.

What's the difference between Data Analyst and Data Scientist?

Data Analysts focus on SQL, dashboards, and descriptive analytics. Data Scientists additionally build predictive models, run experiments (A/B testing), and use ML. DS roles typically require Python and statistics; DA roles emphasize SQL and visualization tools.

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