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