Senior Data Scientist

Skills
Computer ScienceContinuous ImprovementData AnalyticsData ServicesDatabasesEmerging TechnologiesEnterprise Systems
Role

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