Companies in the United States using Time Series Forecasting
650 companies headquartered in the United States list Time Series Forecasting as a requirement in 1,409 open roles. Most of those roles are in data science, AI and machine learning and backend engineering teams. Time Series Forecasting most often appears next to Python, SQL, Machine Learning, CI/CD and AWS. Roles that need it and state the pay sit at $185k a year in the middle.
Companies with the most open Time Series Forecasting roles
25 of 650 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 Capital One | 5000+ | 62 | Data science, Management, Engineering leadership | $192k |
 TikTok | 1001-5000 | 30 | AI and machine learning, Data science, Sales | — |
 Anduril Industries | 1001-5000 | 21 | Backend engineering, Hardware engineering, Industrial engineering | — |
 Qualitate | 51-200 | 19 | Sales, HR and recruiting, Backend engineering | $193k |
 GE Vernova | 5000+ | 16 | AI and machine learning, Data science, Backend engineering | $119k |
 CACI International | 5000+ | 14 | AI and machine learning | $137k |
 JPMorganChase | 5000+ | 12 | AI and machine learning, Data science, Backend engineering | — |
 Citi | 5000+ | 12 | Backend engineering, Analytics, Data science | $195k |
 NVIDIA | 5000+ | 11 | Data science, Backend engineering, Enterprise applications | $219k |
 Seeq | 201-500 | 11 | Backend engineering, Analytics, Sales | — |
 Ivo | 11 | Backend engineering, DevOps and infrastructure, AI and machine learning | $327k | |
 Striveworks | 51-200 | 11 | AI and machine learning, Data science | $208k |
 Avathon | 501-1000 | 10 | AI and machine learning, Data science, Design | $185k |
 UnitedHealth Group | 5000+ | 10 | AI and machine learning, Data science, DevOps and infrastructure | $160k |
 Apple | 5000+ | 9 | AI and machine learning, Data science, Backend engineering | — |
 Amgen | 5000+ | 9 | Data science, AI and machine learning, Public policy | $186k |
 Analog Devices | 5000+ | 9 | AI and machine learning, Data science, DevOps and infrastructure | $273k |
 DRW | 1001-5000 | 9 | Data science, Backend engineering, Operations | $200k |
 Amazon | 5000+ | 8 | Backend engineering, HR and recruiting, Data science | $160k |
 Target | 5000+ | 8 | Data science, Analytics | $155k |
 NETGEAR | 501-1000 | 8 | Backend engineering, DevOps and infrastructure | — |
 Snap | 1001-5000 | 8 | Science and research, AI and machine learning, Industrial engineering | $237k |
 General Mills | 5000+ | 8 | Data science, Operations, Analytics | — |
 Tiger Analytics | 501-1000 | 7 | Data science | — |
 Hewlett Packard Enterprise | 5000+ | 7 | Data science | $232k |
Time Series Forecasting in other countries
What these companies also use
Teams hiring for Time Series Forecasting
Get all 650 companies as a list
Name, website, size, industry and headquarters of every company that requires Time Series Forecasting, through the API (company.getList with technology=Time Series Forecasting and country=US). 650 companies × 0.02 credits = 13 credits ($1.30).
Questions
How do you know a company uses Time Series Forecasting?
A company counts when at least one of its open job postings lists Time Series Forecasting 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 Forecasting itself are left out.
Which teams hire for Time Series Forecasting?
Of the 1,409 open roles that require it, most are in data science (430), AI and machine learning (270) and backend engineering (239).
What do Time Series Forecasting roles pay?
724 of the 1,409 roles state the pay. The middle of their posted ranges is $185k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Time Series Forecasting 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.