Senior Data Scientist

Job Title

Senior Data Scientist

Woodlawn, MD, need locals, who can attend in person interview

Long term contract, 6 years

15 Years

• Solid experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and spaCy
• Experience with Generative AI and Large Language Models (LLM)
• Excellent communication skills

Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, spaCy and LLMs.

• Well versed in SQL and analyzing trends and transactional data.
• Understand real world challenges and develop automated data solutions.
• Develop, test, and deploy new techniques for NLP understanding.
• Scalable development/deployment of ML and Generative AI approaches (such as LLMs)
• Train and optimize NLP/LLM models and create Python-based pipelines.
• Experience building cloud native solutions on AWS.
• Determine the nature of analytic problems, evaluate options, and offer recommendations.
• Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
• Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
• Provide accurate, timely, complex, and sophisticated data analysis.

• Foundation for Success (Basic Qualifications)
• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK, and spaCy, data science, and AI/ML/LLM engineering.
• Overall 15+ years experience in IT industry.
• Factors To Help You Shine (Required Skills)
• Selected candidate must be able to obtain and maintain a public trust clearance.
• Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.
• Solid experience with NLP, Python, NLP frameworks, SQL, Pandas, NLTK, spaCy.
• Experience with Generative AI and LLM.
• Evidence of self-starter and operating independently.
• Fluency in Python programming, version control and collaboration with GIT, standard Python packages (e.g., Pandas, numpy, matplotlib) and ML frameworks.
• Knowledge of Tensor Flow, PyTorch, scikit-learn, Azure ML (optional), Amazon Web Services EC2.
• Scalable data engineering:
  Apache Spark, Airflow, semantic search.
• Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, evaluate supervised and unsupervised models.
• Experience with ML model deployment and operations:
  Dev Ops, MLOps, LLMOps.
• Experience with NLP and Generative AI libraries like regex, spacy, langchain, text annotation tools and semantic frameworks.
• Ability to clean and process large amounts of real-world data.
• Experience retrieving and manipulating data from various sources including DB2, Oracle, SQL Server, Hadoop and flat files.
• Excellent communication skills.
• Experience with DBMS:
  PostgreSQL, MySQL, SQLite, SQL.
• Excellent analytical skills to identify potential risk and propose solutions.
• Excellent problem-solving skills; ability to collaborate with cross-functional teams and communicate with executive leadership.
• Desired Skills
• Prior experience with federal or state governments IT projects.
• Industry experience preferred.
• Experience with distributed processing via Hadoop ecosystem (Spark, Impala, Hive).
• Experience working in analytical research environment.
• Experience in parallel processing such as GPU programming with CUDA.
• Experience with Mathematica.
• Experience using markup languages such as LaTeX, HTML.
• Experience with NLP for anomaly detection.