Senior Data Scientist

Join Tripoint Solutions LLC as a Senior Data Scientist to architect and deploy advanced analytics, AI, and cloud-based data solutions for a federal program. You will deliver scalable analytics for enterprise applications used by millions of users annually, while working in a collaborative, cross-functional environment that supports professional growth. The role offers a competitive salary range and a hybrid setup in the Washington, DC area.

Salary range: USD 100,000 - 175,000 per year.

Benefits

• Medical, Dental, Vision benefits with a national provider network
• Flexible Spending and Health Savings Accounts (FSA & HSA)
• Company-paid Life and Disability insurance including Short-Term, Long-Term, and Accidental
• Supplemental Insurance
• Paid time off (PTO)
• 11 paid holidays
• 401(k) Retirement Plan
• Professional Development Reimbursement Program to pursue undergraduate, graduate, training, and certifications
• Monthly transportation, parking, and cell phone service reimbursement

Responsibilities

• Develop, validate, and deploy predictive models and machine learning algorithms to address business challenges
• Design AI enabled solutions, including Retrieval-Augmented Generation (RAG), vector databases, and graph database architectures
• Design and optimize enterprise data architectures that support AI and ML applications
• Build and maintain scalable data pipelines using Databricks and Microsoft Azure data services
• Develop interactive dashboards, reports, and visualizations with Power BI or Tableau
• Apply statistical analysis, predictive analytics, ML, and Generative AI techniques to solve complex business problems
• Support all phases of the Software Development Life Cycle (SDLC) including requirements analysis, development, integration, testing, QA, deployment, and production support
• Ensure data quality, system performance, and compliance with security and data governance requirements
• Collaborate with cross-functional technical teams and Government stakeholders to deliver innovative, high-quality solutions
• Evaluate emerging technologies and recommend improvements that enhance operational efficiency and analytical capabilities
• Communicate complex analytical results and insights effectively to both technical and non-technical audiences
• Stay current with emerging data science techniques, tools, and industry trends to continuously enhance capabilities

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 5+ years of professional experience in data science or a closely related analytical role
• Hands-on experience with Databricks
• Experience with Microsoft Azure data services and cloud-based analytics platforms
• Practical experience designing AI data architectures, including Retrieval-Augmented Generation (RAG), vector databases, and graph databases
• Experience developing dashboards and visualizations using Power BI, Tableau, or similar BI tools
• Experience supporting SDLC activities, including testing and quality assurance
• Proficiency with SQL and one or more programming languages such as Python, R, or Scala
• Strong analytical, problem-solving, communication, and collaboration skills
• Excellent communication skills with the ability to explain complex concepts clearly

Technologies

• Databricks
• Microsoft Azure
• Power BI
• Tableau
• Retrieval-Augmented Generation (RAG)
• Vector databases
• Graph databases
• SQL
• Python
• R
• Scala
• Azure Synapse Analytics
• Azure Data Factory
• Azure Machine Learning
• Azure AI Services
• Azure Databricks

Location

Washington, DC Metropolitan Area. Hybrid work arrangement with on-site presence required 1 day per week. Candidates must reside in D.C., Virginia, or Maryland.

Clearance Requirements

• Applicants selected may be subject to a government security investigation
• USA Citizenship is required

Preferred Qualifications

• Master’s degree in Data Science, Computer Science, Artificial Intelligence, Analytics, or a related discipline
• Experience supporting Federal Government IT programs or enterprise-scale systems
• Experience implementing Generative AI or large language model (LLM) solutions
• Experience with Azure AI Services, Azure Machine Learning, Azure Synapse Analytics, Azure Data Factory, or Azure Databricks
• Familiarity with DevSecOps, CI/CD pipelines, and automated testing frameworks
• Microsoft Azure, Databricks, or related cloud certifications