Companies using statsmodels

4,611 companies use statsmodels, based on their job posts and their employees' public profiles. From October 2025 to August 2026, 1,628 job posts named it. Data science teams are its most common home.

Data as of November 9, 2026 · Markdown version

Which companies name statsmodels in the most job posts?

The five companies with the most job posts naming statsmodels are Mindrift, Tabby | تابي, JPMorganChase, SAP and bp. Mindrift is the newest of the five companies in the table, with its first job post naming it in November 2025.
Company Posts People Recent job post
Mindrift Information · first seen Nov 2025 121 2 "Create problems requiring Python programming to solve (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn)"Data Scientist (Python & SQL) - Freelance AI Trainer, Jun 9, 2026
Tabby | تابي first seen Dec 2023 102 1 "Knowledge of Python (Pandas, Numpy, Statsmodels, Matplotlib, etc.) is a plus."Senior Marketing Analyst, Marketing Analytics, Jun 12, 2026
JPMorganChase Finance and Insurance · first seen Aug 2022 86 23 "Advanced SQL and Python experience (for example, pandas, scikit-learn, statsmodels) working with large, multi-source datasets."Quant Analytics, Senior Associate - Asset Wealth Management, Oct 28, 2026
SAP Scientific and Technical Services · first seen Jul 2023 86 2 "Data Science & Analytics: Python (specializing in Polars, Seaborn, Statsmodels, Scikit-learn, PyTorch) with SQL for data extraction."SAP iXp Intern (f/m/d) - People Insights Data Scientist, May 22, 2026
bp Utilities · first seen Aug 2022 62 4 "The scientific python stack including SciPy, scikit-learn, Statsmodels"Senior Python Developer (Core Strategist), Jul 23, 2025
Showing 1 to 5 of 1,599 companies with job posts Sign up to see all companies using statsmodels ›

What else do we know about statsmodels?

Is hiring for statsmodels growing?

Statsmodels appeared in 0.83 in every 10,000 job posts from June to August 2026, against 0.95 from March to May. One company accounts for most of that change.
Share of job posts naming statsmodels by month, October 2025 to August 2026, in job posts in every 10,000 Moves from 0.62 in October 2025 to 0.85 in August 2026, in job posts in every 10,000. 1.2 0.92 0.61 0.31 0 0.85 Oct '25 Nov Dec Jan '26 Feb Mar Apr May Jun Jul Aug
Show the data
MonthJob posts naming statsmodelsAll job postsPer 10,000
Oct 2025871,413,6730.62
Nov 20251531,822,1190.84
Dec 20251011,236,1030.82
Jan 20261381,828,0020.75
Feb 20261761,856,6470.95
Mar 20261971,850,7111.1
Apr 20261431,728,8860.83
May 20261731,821,5090.95
Jun 20261561,909,4960.82
Jul 20261481,815,1800.82
Aug 20261561,835,6980.85

How many companies named statsmodels in a job post for the first time in recent months?

Statsmodels showed up in job posts at 163 companies for the first time from June to August 2026, and 182 in the three months before. The 163 from June to August are 10% of all 1,599 companies whose job posts name it.
March to May 2026 182
June to August 2026 163
October 2025 to August 2026 596

Companies whose first job post naming it appeared in that period. Recruiters, staffing firms and job boards are left out.

How do we know which companies use statsmodels?

We found 4,611 companies that use statsmodels, 3,012 of them through employees' profiles alone. 1,599 name it in their own job posts.
How we know Companies Share
Job posts name statsmodels
1,599 35%
Employees' profiles list statsmodels
3,012 65%

4,611 companies. Each is counted once, under the strongest evidence we have for it.

What size are the companies that use statsmodels?

By size, statsmodels users are close to the typical tech page; companies with 50 to 999 employees are the largest group (39%). The second-largest group is companies with more than 5,000 employees, at 23%.

Share of its companies Typical tech page

ShareTypical
Under 50 employees
18% 22%
50 to 999
39% 38%
1,000 to 5,000
20% 17%
Over 5,000
23% 23%

Where are statsmodels companies based?

The United States has the most statsmodels companies (44%), but Brazil stands out: 4.6% of them, against 2.8% on the typical tech page. Its companies are based in 103 countries and territories.
ShareTypical
United States
44% 43%
India
7.8% 6.9%
United Kingdom
7.2% 6.4%
Brazil
4.6% 2.8%
Canada
4.2% 3.6%
Germany
4.2% 4.4%

Companies in 103 countries and territories. Shares are of companies with a known headquarters country.

Show the data
CountryCompaniesShareTypical tech page
United States1,93544%43%
India3447.8%6.9%
United Kingdom3187.2%6.4%
Brazil2034.6%2.8%
Canada1874.2%3.6%
Germany1874.2%4.4%

Which teams work with statsmodels?

Statsmodels sits mostly with data science teams (61 companies). Data engineering and data teams come next, at 13 and 12 companies.
Team Companies
Data science
61
Data engineering
13
Data
12
Data & analytics
10
AI
9
Analytics
9

What else do statsmodels companies use?

LightGBM and SciPy are the tools most closely tied to statsmodels. XGBoost is 15 times as common as usual, at 33%.

Share of the 1,081 statsmodels companies counted here whose job posts also name the tool Typical for companies the same size

Tool Also name it Typical Times as common
LightGBM 188 companies
17% 0.79% 22x
SciPy 400 companies
37% 2% 18x
XGBoost 354 companies
33% 2.2% 15x
Seaborn 287 companies
27% 1.9% 14x
Tool Also name it Typical Times as common
LangSmith 83 companies
7.7% 0.62% 12x
Plotly 233 companies
22% 1.8% 12x
Weights & Biases 71 companies
6.6% 0.56% 12x
Langfuse 71 companies
6.6% 0.56% 12x

Which companies started naming statsmodels in job posts recently?

Between April and August 2026, statsmodels appeared for the first time in job posts at 232 companies: 123 commercial, 40 mid-market and 69 enterprise. Among the new commercial companies, Lumenalta posted the most jobs naming it: 11.
AI native any size · 6 new
Company Posts
inait 1
Commercial 50 to 999 employees · 123 new
Company Posts
Flipp 5
Mid-market 1,000 to 5,000 employees · 40 new
Company Posts
axity 5
Xebia 2
Flix 2
Enterprise over 5,000 employees · 69 new
Company Posts
Capco 5
Avolta 4

Companies that named statsmodels in a job post for the first time between April and August 2026, ranked by their job posts in those months. AI-native companies get a group of their own, whatever their size. Recruiters and job boards are left out.

Which roles mention statsmodels most?

Data Scientist roles make up 44% of the job posts that name statsmodels. Data Scientist posts naming it numbered 207 from March to May 2026 and 202 from June to August.
Role Share Posts
Data Scientist
44% 714
AI Engineer
7% 114
Data Analyst
6.3% 102
Machine Learning
4.5% 74
Statistician
3.9% 63
Data Engineer
2.8% 45
Show the data
RoleShareOct 2025 to Aug 2026Mar to May 2026Jun to Aug 2026
Data Scientist44%714207202
AI Engineer7%1144034
Data Analyst6.3%1023530
Machine Learning4.5%742417
Statistician3.9%63231
Data Engineer2.8%45178

Which project themes come up in statsmodels job posts?

Setting aside broad digital transformation, Generative AI is the theme teams hiring for statsmodels mention most, in 141 job posts. Broad digital transformation work shows up in 238 of its job posts.
Project theme Job posts
Digital Transformation 238
Generative AI 141
Data Infrastructure Migration 36
Cloud Cost Optimization 30
About this data

Sumble built this page. Sumble gives sales, marketing and other GTM teams technographics and hiring signals for the companies they sell to: the technologies each company uses, which teams are hiring and for what, and who reports to whom. That helps a team know who to contact, why now, and what to say.

Sumble covers more than 3.6 million companies, 93 million job posts collected since 2022 and 194 million employee profiles, and tracks more than 37,000 technologies. It finds which technologies a company uses by reading its job posts and its employees' public profiles.

Sumble has a free plan, and the same data is available through its API and MCP server.

A company counts when its own job posts or its employees' public profiles name the technology. Hiring is that technology's share of all job posts collected each month. Quotes are copied word for word from the companies' job posts.

Every figure on this page comes from Sumble's own analysis, and you won't find it outside Sumble.