- Low
- 85,700
- Average
- 122,527
- Median
- 135,000
- High
- 156,485
Infrastructure Data Scientist Salary
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33
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Infrastructure Data Scientist average salary is $122,527, median salary is $135,000 with a salary range from $85,700 to $156,485.
Infrastructure Data Scientist salaries are collected from government agencies and companies. Each salary is associated with a real job position. Infrastructure Data Scientist salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
Infrastructure Data Scientist salaries are collected from government agencies and companies. Each salary is associated with a real job position. Infrastructure Data Scientist salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
| Company | Salaries | City | Year | More info |
| 135,000-135,000 | Menlo Park, CA, 94025 | 2018 | Facebook Infrastructure Data Scientist Salaries (7) Infrastructure Data Scientist Menlo Park, CA Salaries |
|
| 135,000-156,485 | Menlo Park, CA, 94025 | 2017 | Facebook Infrastructure Data Scientist Salaries (7) Infrastructure Data Scientist Menlo Park, CA Salaries |
|
| Jpmorgan Chase & | 91,155-91,155 | Columbus, OH, 43085 | 2017 | Jpmorgan Chase & Infrastructure Data Scientist Salaries (1) Infrastructure Data Scientist Columbus, OH Salaries |
| 120,000-120,000 | Menlo Park, CA, 94025 | 2015 | Facebook Infrastructure Data Scientist Salaries (7) Infrastructure Data Scientist Menlo Park, CA Salaries |
|
| JPMorgan Chase | 85,700-85,700 | Columbus, OH, 43085 | 2015 | JPMorgan Chase Infrastructure Data Scientist Salaries (1) Infrastructure Data Scientist Columbus, OH Salaries |
| 90,000-90,000 | Menlo Park, CA, 94025 | 2014 | Facebook Infrastructure Data Scientist Salaries (7) Infrastructure Data Scientist Menlo Park, CA Salaries |
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Infrastructure Data Scientist salary is full-time annual starting salary. Intern, contractor and hourly pay scale vary from regular exempt employee. Compensation depends on work experience, job location, bonus, benefits and other factors.
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