Senior Data Scientist

Centurion is seeking a Senior Data Scientist to join their team to support a federal program located in Woodlawn, MD.

• Position Description
• :Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLM
• sWell versed in SQL and analyzing trends and transactional data
• .Understand real world challenges and develop automated data solution
• sDevelop, test, and deploy new techniques for NLP understandin
• gScalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs
• )Train and optimize NLP/LLM models and create Python based pipeline
• sExperience building cloud native solutions on AW
• SDetermine 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

• .
• REQUIRED SKILL
• S: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 engineerin
• g.Overall 10+ years’ experience in IT indust
• ryFactors To Help You Shine (Required Skill
• s)*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 SPAC
• y.Experience with Generative AI and Large Language Models (LL
• M)Evidence of true self-starter and operating independentl
• y.Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML framewor
• ksKnowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC
• 2.Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic searc
• h.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 model
• s.Experience with ML model deployment and operations like DevOps, MLOps, LLMOp
• s.Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic framework
• s.Ability to clean and process large amounts of real-world dat
• a.Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat file
• s.Excellent Communication skill
• s.Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc
• .)Excellent analytical skills to identify potential risks and propose effective solution
• s.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 leadershi

• p.
• DESIRED SKIL
• LS:Prior experience with federal or state governments IT projec
• ts.Industry experience prefer
• redExperience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hi
• ve.Experience working in an analytical research environme
• nt.Experience in parallel processing such as GPU programming with C
• UDAExperience with Mathemat
• icaExperience using markup languages such as LaTeX, HTML, e
• tc.Experience with Natural Language Processing for anomaly detect

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