Senior Data Scientist
WOODLAWN, MD, United States
Contract
1 week ago
Key skills
PythonGoSQLAIMLNLPGenerative AIGenAILLMLangChainPyTorchTensorFlowscikit-learnPandasNumPyMLOpsData EngineeringSparkAirflowHadoopAWSAzureEC2PostgreSQLMySQLOracleSQL ServerSQLiteGitLeadershipCommunicationCollaboration
About this role
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