Companies in the United States using Scikit-learn
499 companies headquartered in the United States list Scikit-learn as a requirement in 1,075 open roles. Most of those roles are in AI and machine learning, data science and backend engineering teams. Scikit-learn most often appears next to Python, Machine Learning, SQL, AWS and CI/CD. Roles that need it and state the pay sit at $171k a year in the middle.
Companies with the most open Scikit-learn roles
25 of 499 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 5000+ | 27 | AI and machine learning, Management | $227k | |
| 5000+ | 24 | AI and machine learning, Hardware engineering, Data science | — | |
| 5000+ | 21 | Solutions engineering, AI and machine learning | $214k | |
| 5000+ | 20 | AI and machine learning, Data science, Backend engineering | $157k | |
| 5000+ | 20 | AI and machine learning, Data science, Engineering leadership | $167k | |
| 5000+ | 17 | AI and machine learning, Backend engineering, Engineering leadership | — | |
| 1001-5000 | 17 | AI and machine learning, Backend engineering, Engineering leadership | — | |
| 5000+ | 13 | AI and machine learning, Data science | $127k | |
| 5000+ | 13 | AI and machine learning, Data science, Backend engineering | $183k | |
| 51-200 | 13 | AI and machine learning, Data science | $208k | |
| 51-200 | 12 | Data science, Solutions engineering, AI and machine learning | — | |
| 1001-5000 | 11 | Backend engineering, QA and testing, Management | — | |
| 1001-5000 | 9 | AI and machine learning, Data science | $152k | |
| 5000+ | 8 | AI and machine learning, Data science, Solutions engineering | — | |
| 201-500 | 8 | AI and machine learning | — | |
| 1001-5000 | 7 | Industrial engineering, Solutions engineering, Product management | — | |
| 501-1000 | 7 | Data science, AI and machine learning | — | |
| 7 | AI and machine learning, Enterprise applications | — | ||
| 5000+ | 7 | AI and machine learning, Backend engineering | — | |
| 1001-5000 | 7 | AI and machine learning, Data science | $201k | |
| 1001-5000 | 7 | AI and machine learning, Finance, Industrial engineering | $146k | |
| 5000+ | 6 | Data science, Backend engineering, AI and machine learning | $173k | |
| 5000+ | 6 | Data science, AI and machine learning, Engineering leadership | — | |
| 501-1000 | 6 | Data science | $161k | |
| 5000+ | 6 | AI and machine learning, Data science | — |
Scikit-learn in other countries
What these companies also use
Teams hiring for Scikit-learn
Get all 499 companies as a list
Name, website, size, industry and headquarters of every company that requires Scikit-learn, through the API (company.getList with technology=Scikit-learn and country=US). 499 companies × 0.02 credits = 9.98 credits ($1.00).
Questions
How do you know a company uses Scikit-learn?
A company counts when at least one of its open job postings lists Scikit-learn as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Scikit-learn itself are left out.
Which teams hire for Scikit-learn?
Of the 1,075 open roles that require it, most are in AI and machine learning (453), data science (336) and backend engineering (60).
What do Scikit-learn roles pay?
437 of the 1,075 roles state the pay. The middle of their posted ranges is $171k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Scikit-learn and country=US returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.
