Senior Data Scientist

Job Title : Senior Data Scientist

Location: Woodlawn, MD, need locals, who can attend in person Interview

Visa: Any

Duration: Long term contract, 5+ years

Client: Leidos- SSA

Key Required Skills:

•             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

Position Description:

•             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 Large Language Models (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 for resolution.

•             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.          

Skills Requirements:

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 10+ 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**

**Master''s and 10+ years of experience, Bachelor''s and 12+ years of experience or 18+ years in lieu of a degree**

•             Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.

•             Experience with Generative AI and Large Language Models (LLM)

•             Evidence of true self-starter and operating independently.

•             Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks

•             Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.

•             Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.

•             Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.

•             Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.

•             Experience with NLP and Generative AI libraries like regular expressions (e.g., 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 a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.

•             Excellent Communication skills.

•             Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)

•             Excellent analytical skills to identify potential risks and propose effective solutions.

•             Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.

How To Stand Out from The Crowd (Desired Skills)

•             Prior experience with federal or state governments IT projects.

•             Industry experience preferred

•             Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.

•             Experience working in an analytical research environment.

•             Experience in parallel processing such as GPU programming with CUDA

•             Experience with Mathematica

•             Experience using markup languages such as LaTeX, HTML, etc.

•             Experience with Natural Language Processing for anomaly detection