Statistician/Data Modeler- REMOTE

GDIT is hiring a mid to senior level statistician to support the data collection and analysis efforts of a government program.  The Statistician will contribute to the ongoing initiatives of a larger data team conducting work related to the care and placement of participants in a network of care providers.  The ideal candidate will enhance and develop reporting and analytics capabilities, support forecast modeling, develop automated reporting solutions and dashboards, build briefing products, conduct analysis and deliver analytical results, and coordinate/implement data collection efforts.  

Essential Tasks Include:

• Work with domain experts within the agency and with external stakeholders to develop and tune data models.
• Conduct high-level data interpretation and statistical analysis using a data analytics platform.
• Design and develop tools/apps to reproduce analyses with the established models.
• Prepare written summaries and presentations that reflect the results of data analysis and present findings to agency leadership.
• Provide ad-hoc data reporting as need Prototype data products and conduct analysis and feasibility based on program requirements.
• Create presentations and prepare documentation as needed.
• Research applicable methodologies and provide training for data analysts and staff on modeling techniques.
• Support data collection, analysis and visualization projects as needed, including data modeling, database creation, and technical support.
• Recommend technical and automated solutions for manual processes.
• Work with contractor and federal staff to enhance the collection and analysis of program data.
• Update and develop data collection tools and processes to yield statistically reliable and informative data and support program assessments.
• Assist in identifying performance outcomes and indicators.
• Identify uniform data points for analysis.
•  Assist with projects that support the continual improvement of data analysis.
• Compile, analyze, and visualize data using a data visualization platform such as Tableau.

 
Qualifications:    

•   Requires BS/BA degree in Statistics or a related field as well as 8 years of related experience, or MS/MA degree with 6 years of experience.
•  Working knowledge of data visualization platforms (Tableau) and scripting languages (R/Python/SAS).
• Working knowledge of SQL and familiarity with relational databases.
• Exceptional analytical skills, strong attention to detail, and strong verbal and written communication skills.
• Previous experience working with children or in a health services realm preferred, but not required.
• Candidates should have specialties in one or more of the below areas:
• Statistical analysis and modeling.
• Natural language processing.
• Quantitative and qualitative data analysis
• Data engineering, to include experience working with large datasets and performing tasks such as data cleaning and processing (ETL).
• Fundamental working knowledge of SQL.
• Python and/or R.
• Tableau.
• Palantir.
• Data entry.

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