Companies using Time Series that are hiring now
1,541 companies list Time Series as a requirement in 3,058 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 $171k a year in the middle.
Companies with the most open Time Series roles
25 of 1,541 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
 Capital One | United States | 5000+ | 60 | Data science, Management, Engineering leadership | $192k |
 Amazon | United States | 1-10 | 49 | AI and machine learning, Data science, Backend engineering | $169k |
 TikTok | United States | 1001-5000 | 29 | AI and machine learning, Data science, Sales | — |
 JPMorganChase | United States | 5000+ | 29 | AI and machine learning, Data science, Backend engineering | $164k |
 Bosch | Germany | 5000+ | 25 | AI and machine learning, Early careers, Robotics | $175k |
 ByteDance | China | 1001-5000 | 23 | AI and machine learning, Early careers, Backend engineering | — |
 Qualitate | United States | 51-200 | 22 | Sales, Backend engineering, HR and recruiting | $210k |
 GE Vernova | United States | 5000+ | 19 | AI and machine learning, Analytics, Backend engineering | $131k |
 Data Intellect | United Kingdom | 201-500 | 19 | Industrial engineering, Finance, Data science | — |
 Apple | United States | 5000+ | 18 | AI and machine learning, Data science, Backend engineering | — |
 Anduril Industries | United States | 5000+ | 18 | Backend engineering, Hardware engineering, Industrial engineering | — |
 Meta | United States | 5000+ | 17 | AI and machine learning, Industrial engineering, Data science | — |
 Sia | France | 1001-5000 | 17 | Data science | — |
 General Motors | United States | 1001-5000 | 16 | Backend engineering, Early careers, AI and machine learning | $183k |
 Citi | United States | 5000+ | 16 | Backend engineering, Analytics, Finance | $195k |
 Accenture | Ireland | 5000+ | 15 | Data science, Operations, Analytics | — |
 TD Bank Group | Canada | 1001-5000 | 15 | Finance, AI and machine learning, HR and recruiting | $145k |
 CACI International | United States | 5000+ | 15 | AI and machine learning | $146k |
 UnitedHealth Group | United States | 5000+ | 14 | AI and machine learning, Data science, DevOps and infrastructure | $153k |
 Goldman Sachs | United States | 1001-5000 | 13 | Backend engineering, Engineering leadership, AI and machine learning | $175k |
 EY | United Kingdom | 5000+ | 13 | Operations, Data science, AI and machine learning | $205k |
 o9 Solutions | United States | 1001-5000 | 13 | Operations, Data science, Solutions engineering | $102k |
 Seeq | United States | 201-500 | 12 | Backend engineering, Analytics, Sales | — |
 Capgemini | France | 5000+ | 11 | Data science, Enterprise applications | — |
 HCLTech | India | 5000+ | 11 | AI and machine learning, Data science, Sales | — |
Where these companies are headquartered
What these companies also use
Teams hiring for Time Series
Get all 1,541 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). 1,541 companies × 0.02 credits = 30.82 credits ($3.08).
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 3,058 open roles that require it, most are in data science (920), AI and machine learning (680) and backend engineering (439).
What do Time Series roles pay?
1,081 of the 3,058 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=Time Series 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.