Statistician (Data Scientist)
Join the Team! The Data Intake and Injury Information Branch in the Division of Hazard and Injury Data Systems is seeking a Statistician (Data Scientist). The Division has primary responsibility for planning, development, implementation, evaluation and quality control of injury data collection programs. The Division is responsible for designing, implementing, and operating the various national data systems used by the Commission to collect, maintain, and assure quality data.
The Statistician (Data Scientist) will be responsible for performing the following duties:
- Use knowledge of statistical techniques such as logistic regression, survival analysis; analysis of frequency distributions; analysis and modeling of multivariate data; sampling; analysis of variance; determining confidence limits; and estimating effect magnitude to Commission’s Consumer product coding model.
- Use knowledge of the concepts, methods, and techniques of the specialized field of data science to provide technical expertise on data quality functions and activities.
- Implement predictive modeling processes that optimize operations and maintenance and other outcomes.
- Work collaboratively with colleagues in planning and implementing procedures to synthesize insights into actionable Agency improvement recommendations.
- Write SAS / Python code and macros and apply Statistical Analysis Software (SAS) procedures/ Python for data manipulation and analysis.
- Assist in the implementation and creation of machine learning-based tools or processes, providing data visualizations to an organization using box plots, density plots, histograms, scatter plots, etc.
- Identify ways to analyze and draw conclusions from imperfect data sources while clearly articulating any assumptions. Collaborate with statisticians/data analysts and organizational staff to identify and resolve data quality issues.
- Communicate research achievements, objectives and results to a wide variety of audiences and prepares manuscripts for publication, technical reports or presentation, for statistical and non-statistical audiences.
- Support current processes, data management and reporting while also working to identify workflow/system improvements and implement continuous improvements.
- Support cross-functional initiatives and internal/external customers at all levels.
- Provide organizational support to project initiatives (preparing agendas, project plan, presentations and reports, coordinating meetings, maintaining records, etc.).
- Provide technical expertise to support complex statistical analyses.