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
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
data scientist jobs · data scientist salary · data scientist career guide · careers for data scientists
MLOps Engineer
mlops engineer jobs · mlops engineer salary · mlops engineer career guide · careers for mlops engineers
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 Scientist → MLOps Engineer
Transition estimate: 12–24 mo.
What mlops engineer postings ask for that data scientist profiles usually lack: CI/CD, Azure, Kubernetes, GCP.
MLOps Engineer → Data 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.
Staff Data Scientist at ChainalysisLondon OfficeTodayApply
Graduate / Junior Data Scientist at ThgingenuityManchesterTodayApply
DATA SCIENTIST at Air Mobility CommandMacDill AFB, Florida$126k–$164kTodayApply
Data Scientist at Bureau of Labor StatisticsSuitland, Maryland$102k–$133kTodayApply
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.
MLOps Engineer (f/m/div.) at BoschGroupBraga, PT6d agoUnlock
MLOps Engineer at Sequoia ConnectMéxico1w agoApply
ML Infrastructure Engineer at WhitecircleParis1w agoApply
MLOps Engineer at Alta AresParis1w agoApply
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
- Data Scientist vs Machine Learning Engineer71% peak overlap
- Data Scientist vs Product Analyst59% peak overlap
- Data Analyst vs Data Scientist58% peak overlap
- Data Scientist vs Research Scientist55% peak overlap
- MLOps Engineer vs Solutions Architect53% peak overlap
- Machine Learning Engineer vs MLOps Engineer49% peak overlap
Which one do your skills favor?
Run the instrument with your own skill set and both readiness numbers recompute for you. Free, no account.
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.