Data Scientist vs Product Analyst

Measured from each occupation's own live postings: related jobs with a real gap between them. Posted pay favors the data scientist by about $34k at the midpoint. Everything on this page is read from the two occupations’ own live postings and refreshed every night.

The short answer

$76k–$160kData Scientist
+$34kData Scientist, at the midpoint
$60k–$108kProduct Analyst

On pay, data scientists come out ahead by about $34k a year at the midpoint of posted bands: $76k–$160k against $60k–$108k for product analysts. These are advertised figures from postings that state a salary, not estimates.

On skills, they are related jobs with a real gap between them. There is a shared core, and then each side asks for things the other rarely does. The readiness numbers further down say how far a typical profile on each side already reaches into the other, and which direction is the easier move.

Data Scientist

Posted pay, middle half$76k–$160k
FieldTechnology
Postings read3,150
Open right now547 (167 remote)

Product Analyst

Posted pay, middle half$60k–$108k
FieldTechnology
Postings read763
Open right now101 (36 remote)
DemandHigh

The overlap, measured

Skills that appear in both occupations’ posting demand. This is the shared core; everything else on each side is the difference. Each linked skill has its own page with the roles it unlocks.

Switching, both directions

Data ScientistProduct Analyst

57% skill readiness

Transition estimate: 12–24 mo.

What product analyst postings ask for that data scientist profiles usually lack: Agile, Tableau, SaaS, Looker.

Run this direction on the instrument

Product AnalystData Scientist

Not scored: the two sets of postings share too few skills in this direction for an honest number. Run the instrument with your own skill set for a personal read.

Open data scientist roles right now

The freshest data scientist openings on the board, from company career pages and remote boards. Apply at the source.

See all 547 data scientist jobs

Open product analyst roles right now

The freshest product analyst openings on the board. Same rules: live, tagged to the occupation, linking to the original posting.

See all 101 product analyst jobs

See the whole board for both

648 live roles across the two, freshest first, with posted pay and remote flags where the posting states them.

Related comparisons

Which one do your skills favor?

Run the instrument with your own skill set and both readiness numbers recompute for you. Free, no account.

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Quick answers

Which pays more, data scientist or product analyst?

On pay, data scientists come out ahead by about $34k a year at the midpoint of posted bands: $76k–$160k against $60k–$108k for product analysts. These are advertised figures from postings that state a salary, not estimates. By seniority and country: data scientist salary and product analyst salary.

Are data scientist and product analyst the same job?

On skills, they are related jobs with a real gap between them. There is a shared core, and then each side asks for things the other rarely does. The skills both sets of postings want most are Data Analysis, Product Management, SQL, Data Visualization, A/B Testing.

Can a data scientist become a product analyst?

Yes, and the numbers say how far along you already are: a typical data scientist profile covers 57% of what product analyst postings ask for. Our estimate for the move is 12–24 mo. The instrument lists the exact skills that make up the rest.

How many data scientist and product analyst jobs are open right now?

Right now our board has 547 data scientist openings and 101 product analyst openings, each linking to the original posting. The board refreshes every night, so the counts move with the market. Hiring the most data scientists at the moment: OpenAI (9), Pinterest (9), Reddit (8). For product analysts: Bluelight (10), Grafanalabs (6), Okta (4).

Method: each occupation’s salary band is the posted 25th to 75th percentile from its own corpus, counting only postings that state pay; readiness is coverage of the destination’s posting-skill weight; shared skills are read from the overlap waterfall. Pairs sharing too few skills are not scored in that direction. Job lists and counts are the live board. Refreshed with the nightly scrape.

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