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Data Scientist Salary (2026)

Data scientist pay rewards production ML impact over notebooks — models you shipped and the measurable lift they drove set the band.

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By the HAMRA team
We build HAMRA, an end-to-end AI job search — Career Score, ATS resume tailoring, matching & mock interviews.
Updated July 2026

Data Scientist salary by experience — Global (US-anchored, USD)

Annual figures at San Francisco (the market anchor). Min · median · max.

ExperienceMinimumMedianMaximum
Entry level (0–2 years)$101k$134k$179k
Mid level (2–5 years)$146k$190k$258k
Senior (5–8 years)$202k$269k$381k
Lead / Staff (8+ years)$280k$381k$560k

Data Scientist salary by experience — India (INR)

Annual figures at Bangalore (the market anchor). Min · median · max.

ExperienceMinimumMedianMaximum
Entry level (0–2 years)₹5.6L₹9.0L₹15.7L
Mid level (2–5 years)₹13.4L₹21.3L₹35.8L
Senior (5–8 years)₹28.0L₹42.6L₹72.8L
Lead / Staff (8+ years)₹50.4L₹72.8L₹134.4L

Data Scientist salary by city — Global (US-anchored, USD)

Median pay for a mid-level data scientist, by market hub.

San Francisco$190k
New York$185k
Seattle$181k
Austin$162k
London$149k
Toronto$137k
Berlin$129k
Remote (US)$168k

Data Scientist salary by city — India (INR)

Median pay for a mid-level data scientist, by market hub.

Bangalore₹21.3L
Mumbai₹20.9L
Delhi₹20.4L
Hyderabad₹20.0L
Pune₹19.6L
Chennai₹18.7L
Remote₹20.2L

What moves a Data Scientist salary

  • Deployed, measured models (not Kaggle/coursework) is what separates the median from the top range.
  • ML-engineering and MLOps skills push comp toward software-engineer-plus territory.
  • Specialisations (NLP, recommender systems, causal inference) command a scarcity premium.

What’s your data scientist range?

These are market benchmarks. Upload your résumé and HAMRA matches the range to your actual experience and skills — free, in ~30 seconds. No card required.

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Data Scientist salary — FAQ

What is the average Data Scientist salary in 2026?

The median for a mid-level Data Scientist is around $190k/yr in the US market (typical range $146k–$258k), and about ₹21.3L/yr in India. These are modeled benchmarks — actual pay varies with company, location, and negotiation.

How much does a senior Data Scientist make?

A senior Data Scientist (5–8 years) typically earns $202k–$381k/yr in the US (median $269k), and ₹28.0L–₹72.8L/yr in India. Lead/staff levels push meaningfully higher.

Data Scientist salary — US vs India?

At mid level, the US median ($190k) reflects US-anchored total compensation, while the India median (₹21.3L) reflects the local market. Compare within a market, not across one — cost of living and comp structure differ.

How do I negotiate a higher Data Scientist salary?

Anchor near the upper-median of your band with evidence — quantified impact, in-demand skills, and any competing interest. Knowing the market range before the conversation is what makes the ask credible. HAMRA matches this data to your own résumé so your expected range reflects your actual profile.

How this data scientist salary data is modeled

These are modeled benchmarks — built from published market ranges (levels.fyi, Glassdoor, AmbitionBox for India; levels.fyi, BLS OES, Glassdoor for the global grid) using a transparent base × role × location model, not live per-company data. Global figures are US-anchored total compensation in USD; India figures are in INR. Actual pay varies with company, stage, and negotiation — treat every number as a directional range.

How to use these salary benchmarks

Compensation for the same title varies widely by experience, location, company stage, and demand for the specific skills you bring. Use these benchmarks as a range, not a single number: find your role, then read the minimum, median, and maximum for your experience band and market. The median is the most useful anchor — it’s the midpoint of the market, so landing above it means you’re paid competitively and below it is a signal to negotiate.

Turning a benchmark into a negotiation

Most candidates leave money on the table simply by not asking. Once you know the market range for your role and level, anchor your ask near the upper-median with evidence — quantified impact, in-demand skills, and competing interest. Knowing the number before the conversation is what makes the ask credible. HAMRA pairs this data with your resume and target roles so your expected range reflects your actual profile, not a generic average.

Why salary transparency matters

Opaque pay ranges favor the employer. Public, role-by-role benchmarks let you walk into any conversation informed — whether you’re a fresh graduate sizing up a first offer or an experienced professional weighing a switch. This data is free to browse; upload your resume to see the range matched to your own experience and skills.

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