LinkedIn shows 11,000+ data scientist jobs in the US. The government says data scientists held about 275,600 jobs in 2025. Neither number tells you how many roles you could apply to this week. So how many data scientist jobs are there, open, right now?

I count them. Every day my system reads company job boards directly, the pages where employers post the roles first. This is what that count showed on 4 November 2026, and what it means for your search.

How many data scientist jobs are there right now

On 4 November 2026, the company job boards I track listed 165 data scientist roles in the US, at 75 companies.

That counts every open role with "data scientist" in the title at a US location. Senior Data Scientist, Product Data Scientist and Machine Learning Data Scientist all count. It counts postings, so a role listed separately for two cities counts twice.

These companies had the most open:

Company	Open data scientist roles
OpenAI	15
Socure	12
Reddit	10
Anthropic	8
Pinterest	7
Waymo	6
Lyft	5
Airbnb	4
Databricks	4
Plaid	4

The top five hold 52 of the 165 roles, close to a third. So a few hiring teams shape much of this market. If OpenAI or Socure pause hiring next month, the count moves with them.

How I counted

I matched "data scientist" as a phrase. So Data Analyst (35 US roles that day), Analytics Engineer (55), Machine Learning Engineer (188) and Applied Scientist (20) sit outside it. I left out 2 roles whose titles named Australia or the UK.

These boards lean toward tech companies. Banks, insurers, hospitals and government agencies hire many data scientists, and most of them sit outside this count.

Why the big data scientist numbers look so different

Three numbers float around, and they measure three different things.

LinkedIn's 11,000+ is a job board total. It pulls from far more employers, repeats the same job under several links, and matches loosely.
The Bureau of Labor Statistics counts people, not openings: about 275,600 data scientist jobs in 2025.
The BLS also projects about 24,800 openings a year, on average, over the next decade. That's a yearly forecast, not today's list.

My 165 is a fourth thing: roles open on one day, on company boards, with "data scientist" in the title. It's the only one of the four you can apply to today.

So the field is large, but the title is narrow. A lot of data work now goes out under other names. On the same boards, Analytics Engineer and Machine Learning Engineer together had 243 US roles, more than data scientist. If you search only one title, you miss most of the work you could do.

Where the data scientist jobs are, and how senior

San Francisco leads by a wide margin. A role can list several cities, so these numbers overlap.

Location in the posting	Roles
San Francisco	95
New York	55
Seattle	30
Miami	10
Mountain View	9
Says remote	51

51 roles say remote in the location, about three in ten. Reddit alone has 10 of them, all listed as remote in the US.

Level matters even more. 98 of the 165 titles say Senior, Staff, Principal, Lead or higher. That's 59%. Staff and Principal alone account for 42.

At the other end, only two titles mark themselves as early career: one university grad role and one PhD internship. Another 6 carry "II", which usually means a step above entry level. And 59 titles carry no level at all.

If you're early in your career, those 59 are your best place to look. Read the years of experience in each one, because the real level often sits there, not in the title.

What kind of data science companies want

Titles also show what the work is. Some titles fit more than one group, so read these as rough sizes.

About 36 are product, growth or experimentation roles.
About 26 work on fraud, risk, credit or trust and safety.
About 18 sit in ads or marketing.
About 17 say machine learning, algorithms or applied.
About 13 cover forecasting, finance or pricing.

Fraud and risk stand out. Socure, Plaid, Chime, Mercury and Robinhood all had risk or fraud data scientist roles open. If you've built a model that catches bad actors or scores credit, put it in your first lines.

So, is data science still in demand? On this count, yes, at 75 companies on one day. But the demand leans senior, and it sits in a few kinds of work. A general "I do data science" CV fits fewer of these roles than one that names the problem you solved.

How many data scientist jobs fit you

The count that matters is yours. It takes a few minutes to work out.

Search every title you could do. Data scientist, analytics engineer, data analyst and machine learning engineer can describe the same person.
Cut by level. If you're mid-level, take out the Senior, Staff, Principal and Lead roles.
Cut by location. Keep your cities plus the roles that say remote, if you'd take remote.
Look at who's hiring. If most of what's left sits at one or two companies, your market is smaller than it looks.

Take a mid-level data scientist in New York who would also take remote work. Start with 165. Take out the senior titles and the internship, and 66 are left. Keep New York plus the roles that say remote, and you're down to 31.

That 31 is the real market for that person on that day, for one title. Anthropic has 5 of them and Socure has 5. Add analytics engineer and the number grows.

You can do this by hand, or use our free job count tool, which gives you the live count for your title and city with no sign-up. I also keep a hand-picked list of data scientist roles from an earlier, smaller count.

Where Zipply fits

I built Zipply because checking roles like this, every day, eats the hours you need for interviews.

Every day we read these company boards and search Google for your titles. We score each role against your CV, skip the weak fits and tell you why, apply to the strong ones for you, and send you one email each morning with what went out. It costs $50 a month, or $550 a year. There is no free trial.

You answer the legal questions, like work authorization and sponsorship, and you see every application we send. We check every tailored CV against your real one, so nothing goes out claiming work you didn't do.

It only works in fields with enough open roles, which is why the count comes first. With 165 roles under one title, data science is a field where the count can come out thin, and if yours does, I'll tell you before you pay. Nobody, us included, can promise you a job. If it sounds useful, you can start here.

The short version

So how many data scientist jobs are there right now? On the company job boards I track, 165 in the US on 4 November 2026, at 75 companies.

59% want Senior or above, and only two titles mark themselves as early career.
51 say remote. San Francisco, New York and Seattle hold most of the rest.
Fraud, risk and product work make up a big share of the roles.
Search more than one title. The same skills often sit under analytics engineer or ML engineer.

If you want to see how a count like this looks for engineers, this post on software engineer jobs walks through it.

FAQs

How many data scientist jobs are there in the US?

On 4 November 2026, I counted 165 open data scientist roles in the US on the company job boards I track, at 75 companies. LinkedIn showed 11,000+ the same day, including repeats and loose matches. The Bureau of Labor Statistics counts about 275,600 people working as data scientists in 2025, which is employment, not open roles.

Is data science still in demand?

Yes, but mostly for experienced people. On 4 November 2026, 75 companies on the boards I track had data scientist roles open, and 59% of the 165 titles asked for Senior or above. The BLS projects 35% employment growth from 2025 to 2035, so the long-term outlook is stronger than today's entry-level market.

Is data science oversaturated?

Data science has a crowded entry level, but not a crowded field overall. On 4 November 2026, only two of 165 US data scientist titles on the boards I track marked themselves as early career, while 98 asked for Senior or above. People who widen their title search and name the problems they solved compete for far more roles.