Senior Data Scientist

Reef Group

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

Posted 10/2/2026full-timeRemote • Virginia • United StatesSeniorWebsite

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 platforms and data analysis. Proficient in Python and SQL, with a solid understanding of AI workflows and data science methodologies.

Highest-signal resume keywords

Python ProficiencyAdvanced SQL SkillsCloud Platform Experience (Databricks, Azure, AWS, GCP)Machine Learning Solution DevelopmentEnd-to-End Data Science Workflow

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 AnalysisNumPySciPyMLflowLarge Language Models (LLMs)Data VisualizationCloud Migration

Soft Skills

ConsultationClient UpskillingTraining

Tools & Technologies

DatabricksAzureAWSGCPRStataSAS

Industry Keywords

Data ScienceAI AdoptionCloud ToolingOperational InsightsBusiness Outcomes

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
12+ years of experience
Proficient in Python and advanced SQL for data analysis
2+ years’ experience working 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 including NumPy, SciPy, and MLflow
Solid understanding of traditional machine learning toolboxes
Working knowledge of large language models (LLMs) and agentic AI workflows
Bonus: 5+ years of data scientist experience shipping multiple products in operation
Bonus: 2+ years of experience building visualized insights, dashboards, and reports supporting operational needs
Bonus: Prior experience using R, Stata, or SAS
Bonus: Experience refactoring R, Stata, or SAS codebases to Python
Bonus: Prior experience shipping products leveraging LLMs or AI agents