Senior Data Scientist

Role: Senior Data Scientist

Location: Woodlawn, MD - Onsite / Locals Only

Clearance: Must be able to obtain and maintain Public Trust clearance.

Candidate should be able to go for a f2f interview

Summary :-



We need a hands-on Senior Data Scientist with deep NLP and LLM/Generative AI experience to build and deploy automated data solutions, train and optimize NLP/LLM models, and support complex analytic work using Python, SQL, and cloud-native (AWS) tooling.

Must-Have Skills:-

• Strong NLP experience: Python, NLP frameworks, SQL, Pandas, NLTK, spaCy
• Generative AI / LLM experience
• Excellent written and verbal communication skills

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

Nice to Have :-

• Hadoop ecosystem (Spark, Impala, Hive)
• Analytical research environment experience
• GPU/CUDA parallel processing
• Mathematica
• LaTeX/HTML or other markup languages
• NLP for anomaly detection