Senior Data Scientist
CORE Occupational Medicine · Woodlawn, MD · 1 wk ago
EngineeringFull-time
Key Responsibilities
- Develop, test, and deploy NLP understanding techniques
- Scalable ML/GenAI (LLM) development and deployment
- Train/optimize NLP/LLM models; build Python-based pipelines
- Build cloud-native solutions on AWS
- Analyze trends and transactional data via SQL
- Translate real-world/analytic problems into data solutions and recommendations
- Collaborate with data collectors/analysts to close monitoring gaps
- Deliver accurate, timely, sophisticated data analysis
Requirements
- Bachelor's in Statistics, Applied Math, Computer Science, or Information Science (or equivalent industry experience)
- 10+ years overall IT industry experience
- Fluency in Python, Git, standard packages (Pandas, NumPy, Matplotlib), and ML frameworks (TensorFlow, PyTorch, scikit-learn)
- AWS EC2 experience; Azure ML a plus
- Experience with Spark/Airflow or similar data engineering/orchestration frameworks, and/or semantic search
- Expert-level statistical/ML modeling (supervised and unsupervised)
- MLOps/LLMOps and model deployment experience
- GenAI/NLP libraries (regex, spaCy, LangChain), text annotation tools, semantic frameworks
- Experience with DB2, Oracle, SQL Server, Hadoop, flat files, and RDBMS (PostgreSQL, MySQL, SQLite)
- Strong self-starter, able to work independently
- Strong analytical, problem-solving, and cross-functional collaboration skills, including communicating with executive leadership
- Prior federal/state government IT project experience strongly preferred