Senior Data Scientist

GovCIO

. Consult with internal clients and build data products and workflows to support critical operations .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $185,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying machine learning solutions, with a strong focus on cloud migration and AI adoption to enhance business outcomes. Proficient in data analysis using Python and SQL, with extensive experience in the end-to-end data science workflow and visualization tools.

Highest-signal resume keywords

Python ProficiencyAdvanced SQL SkillsCloud Platform Experience (Databricks, Azure, AWS, GCP)Machine Learning Solution DevelopmentData Science Workflow Expertise

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLMachine LearningData AnalysisData VisualizationNumPySciPyMLFlowRSAS

Soft Skills

ConsultationTrainingClient UpskillingCollaboration

Tools & Technologies

DatabricksAzureAWSGCPLLMsAI Agents

Certifications & Qualifications

Bachelor’s Degree in Engineering, Computer Science, Systems, Business or Related DisciplineSuitability/Public Trust Clearance

Industry Keywords

Cloud MigrationAI AdoptionData ProductsOperational InsightsEnd-to-End Data Science Workflow

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNumpyPythonSQL

About the role

Key responsibilities & impact

Consult with internal clients and build data products and workflows to support critical operations
Migrate and modernize clients’ workloads from legacy environments 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 adoption of cloud tooling for concrete business results
Host office hours to upskill clients
Develop, train, and deploy machine learning solutions to solve complex business problems

Requirements

What you’ll need

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-to-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
Ability to obtain and maintain a suitability/public trust clearance
5+ years data scientist experience shipping multiple products in operation
2+ years’ experience in building visualized insights (dashboards and reports) supporting operational needs
Prior experience using R / Stata / SAS
Experience refactoring R / Stata / SAS codebases to Python
Prior experience shipping products leveraging LLMs or AI agents