Senior Data Scientist
Skills
Computer ScienceContinuous ImprovementData AnalyticsData ServicesDatabasesEmerging TechnologiesEnterprise Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Data Science Statistics Mathematics Engineering or related technical field
- Five or more years of experience developing data science analytics machine learning or AI solutions
- Strong proficiency in Python and SQL for data preparation analytics model development testing and deployment
- Experience designing developing validating and monitoring machine learning models
- Working knowledge of large language models embeddings vector databases prompt engineering and retrieval approaches
- Experience developing API-based solutions and integrating AI services into enterprise environments
- Experience with Git code reviews Agile workflows and software development best practices
- Must be a U.S. Citizen and able to obtain and maintain a SECRET security clearance
Nice to have
- Master's degree preferred
- Databricks experience
- AWS familiarity
- Strong communication skills
- Self-starter
- Problem solver
- Client-facing experience
Day to day
- Develop and deploy advanced analytics machine learning NLP and AI solutions for mission and client objectives
- Build and enhance generative AI and RAG solutions using LLMs embeddings vector databases retrieval strategies prompt engineering and cloud AI services
- Perform data acquisition ETL exploratory analysis data preparation validation model development and monitoring using Python SQL and related technologies
- Partner with stakeholders to translate business needs into technical solutions communicate insights and support decision-making across technical and non-technical audiences
