Companies in the United States using Time Series
725 companies headquartered in the United States list Time Series as a requirement in 1,718 open roles. Most of those roles are in data science, AI and machine learning and backend engineering teams. Time Series most often appears next to Python, SQL, CI/CD, Machine Learning and AWS. Roles that need it and state the pay sit at $180k a year in the middle.
Companies with the most open Time Series roles
25 of 725 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Capital One | 5000+ | 60 | Data science, Management, Engineering leadership | $192k |
 Amazon | 1-10 | 48 | AI and machine learning, Data science, Backend engineering | $169k |
 TikTok | 1001-5000 | 29 | AI and machine learning, Data science, Sales | — |
 JPMorganChase | 5000+ | 29 | AI and machine learning, Data science, Backend engineering | $164k |
 Qualitate | 51-200 | 22 | Sales, Backend engineering, HR and recruiting | $210k |
 GE Vernova | 5000+ | 19 | AI and machine learning, Analytics, Backend engineering | $131k |
 Apple | 5000+ | 18 | AI and machine learning, Data science, Backend engineering | — |
 Anduril Industries | 5000+ | 18 | Backend engineering, Hardware engineering, Industrial engineering | — |
 Meta | 5000+ | 17 | AI and machine learning, Industrial engineering, Data science | — |
 General Motors | 1001-5000 | 16 | Backend engineering, Early careers, AI and machine learning | $183k |
 Citi | 5000+ | 16 | Backend engineering, Analytics, Finance | $195k |
 CACI International | 5000+ | 15 | AI and machine learning | $146k |
 UnitedHealth Group | 5000+ | 14 | AI and machine learning, Data science, DevOps and infrastructure | $153k |
 Goldman Sachs | 1001-5000 | 13 | Backend engineering, Engineering leadership, AI and machine learning | $175k |
 o9 Solutions | 1001-5000 | 13 | Operations, Data science, Solutions engineering | $102k |
 Seeq | 201-500 | 12 | Backend engineering, Analytics, Sales | — |
 Avathon | 501-1000 | 11 | AI and machine learning, Data science, Design | $185k |
 Ivo | 11 | Backend engineering, DevOps and infrastructure, AI and machine learning | $327k | |
 Striveworks | 51-200 | 11 | AI and machine learning, Data science | $208k |
 General Mills | 5000+ | 10 | Data science, Analytics, Operations | — |
 NVIDIA | 5000+ | 9 | AI and machine learning, Backend engineering, DevOps and infrastructure | $236k |
 Cognizant | 5000+ | 9 | AI and machine learning, Industrial engineering, Data science | — |
 State Street | 5000+ | 9 | Data science, Solutions engineering, Enterprise applications | $149k |
 Target | 5000+ | 9 | Analytics, Data science | $155k |
 Amgen | 5000+ | 9 | AI and machine learning, Data science, Public policy | $186k |
Time Series in other countries
What these companies also use
Teams hiring for Time Series
Get all 725 companies as a list
Name, website, size, industry and headquarters of every company that requires Time Series, through the API (company.getList with technology=Time Series and country=US). 725 companies × 0.02 credits = 14.5 credits ($1.45).
Questions
How do you know a company uses Time Series?
A company counts when at least one of its open job postings lists Time Series 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 Time Series itself are left out.
Which teams hire for Time Series?
Of the 1,718 open roles that require it, most are in data science (467), AI and machine learning (362) and backend engineering (279).
What do Time Series roles pay?
841 of the 1,718 roles state the pay. The middle of their posted ranges is $180k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Time Series 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.