Senior Data Scientist (Remote)
Govcio
Remote (US) · Posted September 14, 2026
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Pay compared with the market
This listing does not state pay. Across 90 open senior data scientist listings that state pay, the middle half runs $156,500 to $215,000 and the median is $187,500.
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Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
GovCIO is currently hiring for a Data Scientist to support the Department of Veterans Affais (VA) data Modernization initiative. This position will be fully remote located within the United States.
Responsibilities
Consult with internal clients and build data products / workflows to support critical operations
Migrate and modernize clients’ workload from legacy environment to the cloud to realize quantifiable improvements
Spearhead AI adoption with clients to drive business outcomes
Create reference use cases with supporting tutorials, reference code, and training to drive the adoption of cloud tooling for concrete business results
Host office hours to upskill clients
Develop, train, and deploy machine learning to solve complex business problems
Qualifications
Required Skills and Experience
Bachelor’s degree in Engineering, Computer Science, Systems, Business or related scientific/technical discipline,+15 years experience (or commensurate experience).
Proficient in Python and advanced SQL for data analysis
2+ years’ experience performing work on leading cloud platforms such as Databricks, Azure, AWS, and GCP
Experience in the end-end data science workflow, from identifying datasets to production, and associated tooling (NumPy, SciPy, MLFlow)
Solid understanding of traditional machine learning toolboxes
Working knowledge of large language models (LLMs) and agentic AI workflow
Clearance Required: Ability to obtain and maintain a suitability/public trust clearance
Preferred Skills and Experience
5+ years data scientist experience shipping multiple products in operation
2+ year experience in building visualized insights (dashboards and reports) supporting operational needs
Prior experience using R / Stata / SAS
Experience of refactoring of R / Stata / SAS codebase to Python
Prior experience shipping products leveraging LLMs or AI agents
Posted Salary Range
USD $185,000.00 - USD $205,000.00 /Yr.
Consult with internal clients and build data products / workflows to support critical operations
Migrate and modernize clients’ workload from legacy environment to the cloud to realize quantifiable improvements
Spearhead AI adoption with clients to drive business outcomes
Create reference use cases with supporting tutorials, reference code, and training to drive the adoption of cloud tooling for concrete business results
Host office hours to upskill clients
Develop, train, and deploy machine learning to solve complex business problems
Required Skills and Experience
Bachelor’s degree in Engineering, Computer Science, Systems, Business or related scientific/technical discipline,+15 years experience (or commensurate experience).
Proficient in Python and advanced SQL for data analysis
2+ years’ experience performing work on leading cloud platforms such as Databricks, Azure, AWS, and GCP
Experience in the end-end data science workflow, from identifying datasets to production, and associated tooling (NumPy, SciPy, MLFlow)
Solid understanding of traditional machine learning toolboxes
Working knowledge of large language models (LLMs) and agentic AI workflow
Clearance Required: Ability to obtain and maintain a suitability/public trust clearance
Preferred Skills and Experience
5+ years data scientist experience shipping multiple products in operation
2+ year experience in building visualized insights (dashboards and reports) supporting operational needs
Prior experience using R / Stata / SAS
Experience of refactoring of R / Stata / SAS codebase to Python
Prior experience shipping products leveraging LLMs or AI agents