Hire Data Scientists in India

"Data Scientist" means an analyst at one company and an ML engineer at another. HyrEzy starts by defining what your Data Scientist will actually deliver, then finds candidates with evidence of doing exactly that.

Submit a mandate See the talent pool

Analyst, modeller or ML engineer?

Analytics-heavy roles need strong SQL, statistics and communication with business teams. Modelling roles need forecasting, propensity or pricing models with measurable impact. Production roles overlap with ML engineering.

Pay and pool size differ sharply between the three. A precise brief is the difference between a useful shortlist and a pile of mismatched resumes.

What separates strong candidates

Models or analyses tied to a business outcome, with the number that moved.
Correct experiment design and interpretation, including when an A/B test is not valid.
Domain depth in lending, insurance, e-commerce, healthcare or marketplaces.
SQL at scale and Python beyond notebooks.
Clear communication of results to non-technical stakeholders.

What to test in interviews

Tell me about an analysis that changed a decision. What was the decision?
Your A/B test shows a lift, but the product team doubts it. How do you check?
How would you explain this model's output to a sales head?
What would make you stop trusting a model you built?

Common hiring mistakes

Paying modeller rates for dashboard work, or offering analyst rates to production-level candidates.
Filtering on institution alone: by mid-career, delivered work matters more.
Skipping a check of statistical judgment in favour of tool knowledge.

How HyrEzy evaluates Data Scientists

Four layers before a candidate reaches your inbox. Zero retainer; you pay only on a successful hire, with a 90-day replacement guarantee.

Vantage Intelligence score
Every candidate is scored against your JD across 19 dimensions, with skills backed by project evidence separated from skills that are only claimed.
Recruiter validation
A recruiter with product-company hiring experience speaks to each shortlisted candidate about motivation, ownership, notice period and fit.
CV evaluation
A role-specific rubric with evidence cited from the resume, and red flags called out for your panel to probe.
Structured AI video interview
An adaptive, asynchronous interview with a full report, before you spend your own interview time.

Open Data Scientists roles HyrEzy is hiring for

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Frequently asked questions

Do premier-institution graduates make better Data Scientists?

Early in a career the institution is a useful signal. By five to seven years of experience, what the candidate has delivered matters more. HyrEzy weighs education as one of 19 evaluation dimensions.

Can you hire Data Scientists with domain experience?

Yes. HyrEzy regularly hires for fintech, healthcare, e-commerce and SaaS, and weights domain experience when the role needs it.

What does it cost?

Success fees only, zero retainer, with a 90-day replacement guarantee.

Guides for hiring Data Scientists

Hiring Data Scientists by city

Delhi NCR Ghaziabad Gurugram Noida Bangalore Hyderabad Pune Mumbai Chennai

Other roles we hire for

AI Engineers ML Engineers Data Engineers Backend Engineers Full-stack Developers DevOps & SRE Engineers Product Managers Frontend Engineers Mobile Engineers QA & SDET Engineers Engineering Managers Data Analysts UI/UX Designers Enterprise Sales Marketing Customer Success HR & Talent CXO & Leadership

Hiring Data Scientists?

Share the role and get candidates scored against your JD, validated by a recruiter.

Submit a mandate Call +91 99990 13222