Senior Data Scientist - Onsite in Woodlawn, MD

Key Required Skills: Strong experience with Python, SAS, and R to develop and validate data models, analyze large amounts of data, perform statistical analysis, data wrangling as necessary, and being able to visualize results. Position Description: • Develop models using Python, SAS, or R. • Collaborate closely with Product Owners and other SMEs. • Present findings to senior staff and make recommendations for improvements. • Mentor junior staff. • Participate in Agile ceremonies, as required. Skills Requirements: Basic Qualifications • 10+ years of experience as a Data Scientist in a big data environment. • Bachelor’s Degree in technical field with 10 years of experience. • Master’s or Doctorate Degree may substitute 5 years of experience, but 10 years is preferred. • Must be able to obtain and maintain public trust suitability. Contract requirement. • Must be able to work on-site in Woodlawn, MD 5 days a week. Required Skills • Experience using SAS, Python, and/or R to compile, transform, and export data. • Experience building and re-estimating statistical models. • Expertise working with big data. • Experience integrating claims, payment, and other administrative data to produce accurate and detailed data tables, statistical analyses, and visualizations related to various studies. • Experience writing technical and detailed accompanying documentation for data analyses, datasets, and data visualizations that promote an in-depth understanding of an analysis and serves as institutional knowledge and to support quality assurance. • Experience anticipating problems and working to mitigate any anticipated schedule, quality, or timeliness impacts to projects. • Experience with building data pipelines, designing databases, and optimizing data flows, preferably with Greenplum. • Ability to conduct data validation and data analysis to refine existing model features and develop new model features. • Expertise in working with client SMEs, active listening, and gathering information used in the development and iterative refinement of analyses. • Strong foundation in statistical modeling, probability, regression analysis, and hypothesis testing, machine learning operations, deep learning, natural language processing, etc.). • Knowledge of best practices in transitioning prototypes to production (e.g., error-handling, integration, etc.). Desired Skills • Expertise with AI • Ability to provide thought leadership in data science. • Ability to learn programmatic processes quickly. • Previous experience with SSA data sources. • Experience with Data wrangling, cleansing, database management, AWS, and ETL.