Senior Data Scientist

Description

Senior Data Scientist needed to serve on a complex technology implementation.  Responsibilities include:

• Lead larger teams and mentor other scientists
• Apply pattern recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources.
• Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
• Develop interrogating databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans.
• Develop with a focus on data manipulation and/or statistics, using one or more of these languages or applications: Python, R, SAS, Tableau, AWS. Experience in both small and big data environments with an understanding of the tradeoffs in scaling algorithms between differing environments.
• Conduct, facilitate, and educate team on analyses, issues identification, risk assessment, and decision-making processes
• Design, develop, and implement best available models and solutions to agency challenges and requirements
• Prepare data, implement data models, and develop data management tools including databases to support end-to-end solutions

Requirements

Requirements for the job include:

• Master’s Degree in Computer Science, Information Technology, or a related discipline and 7 years of of professional experience planning, conducting, and participating in high-level functional IT systems analysis, design, integration, documentation, and implementation advice on large, complex support services projects OR a Bachelor’s degree in the areas above and 10 years of experience
• Working knowledge of federal grant-making policies, procedures, and administration
• Must be detail oriented and think logically
• Excellent problem solving and analytical skills and excellent written, verbal, and listening communication skills. 
• Ability to keep up with new business and technical concepts
• Able to work with minimal supervision
• Strong team leadership and risk management