Data Scientist vs MLOps Engineer

Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay favors the data scientist by about $23k at the midpoint. Everything on this page is read from the two occupations’ own live postings and refreshed every night.

The short answer

$74k–$160kData Scientist
+$23kData Scientist, at the midpoint
$61k–$128kMLOps Engineer

On pay, data scientists come out ahead by about $23k a year at the midpoint of posted bands: $74k–$160k against $61k–$128k for mlops engineers. These are advertised figures from postings that state a salary, not estimates.

On skills, they are mostly different jobs that happen to share a name or a hallway. The overlap is thin, which is often exactly why people search this pair. 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$74k–$160k
FieldTechnology
Postings read3,486
Open right now570 (171 remote)

MLOps Engineer

Posted pay, middle half$61k–$128k
FieldTechnology
Postings read644
Open right now34 (12 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 ScientistMLOps Engineer

37% skill readiness

Transition estimate: 12–24 mo.

What mlops engineer postings ask for that data scientist profiles usually lack: CI/CD, Azure, Kubernetes, GCP.

Run this direction on the instrument

MLOps EngineerData 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 570 data scientist jobs

Open mlops engineer roles right now

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

See all 34 mlops engineer jobs

See the whole board for both

604 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?

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Quick answers

Which pays more, data scientist or mlops engineer?

On pay, data scientists come out ahead by about $23k a year at the midpoint of posted bands: $74k–$160k against $61k–$128k for mlops engineers. These are advertised figures from postings that state a salary, not estimates. By seniority and country: data scientist salary and mlops engineer salary.

Are data scientist and mlops engineer the same job?

On skills, they are mostly different jobs that happen to share a name or a hallway. The overlap is thin, which is often exactly why people search this pair. The skills both sets of postings want most are MLOps, Machine Learning, Python, LLMs / Generative AI, AWS.

Can a data scientist become a mlops engineer?

Yes, and the numbers say how far along you already are: a typical data scientist profile covers 37% of what mlops engineer 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 mlops engineer jobs are open right now?

Right now our board has 570 data scientist openings and 34 mlops engineer 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 mlops engineers: Continental (3), Bright Vision Technologies (2), Getyourguide (2).

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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