Data Scientist IV

The Division of Violence Prevention (DVP) seeks a highly skilled Data Scientist to provide advanced analytic support for two major initiatives: the National Intimate Partner and Sexual Violence Survey (NISVS) and the National Violent Death Reporting System (NVDRS). This role involves leading the transition of analytic processes from SAS to R, ensuring alignment with legacy outputs, and applying rigorous quality control protocols. For NISVS, the position supports the development of multiple publications through variable optimization, statistical validation, and comprehensive documentation. For NVDRS, the candidate will design and deliver structured R training programs, support SAS-to-R code conversion for data management and analysis, and contribute to research on violent deaths and suicides. The ideal candidate will have deep experience with R programming, SAS-to-R conversions, large-scale public health datasets, and the ability to communicate technical concepts to a non-technical audience. Project priorities may shift over time, and the candidate should be adaptable and prepared to support a range of analytic needs based on evolving client goals and public health priorities.

• Provide advanced statistical and data science support across a range of public health projects.
• Develop and maintain reproducible code and workflows for data management, analysis, and reporting.
• Conduct quality assurance and validation to ensure accuracy and consistency of analytic outputs.
• Collaborate with cross-functional teams to design and implement analytic strategies.
• Support the transition of analytic tools and workflows (e.g., from SAS to R) as needed.
• Deliver training and technical assistance to enhance internal analytic capabilities.
• Communicate complex data findings clearly to both technical and non-technical audiences.
• Adapt to evolving project priorities and respond to changing client and program needs.

• Bachelor's degree required Master’s degree preferred.
• 8-10 years experience
• Prior experience working with a federal agency
• Extensive experience programming in R, including data manipulation, analysis, and visualization.
• Proficiency with SAS and experience supporting transitions from SAS to R or similar modernization efforts.
• Demonstrated experience working with large, complex datasets in a public health or research setting.
• Strong understanding of statistical methods, data quality assurance, and reproducible research practices.
• Excellent written and verbal communication skills, with the ability to present findings to diverse audiences.
• Proven ability to manage multiple priorities and adapt to shifting project needs in a collaborative environment.

PCI Federal Services (PCIFS) and its subsidiaries is an equal-opportunity employer. PCIFS does not discriminate on the basis of age, sex, race, national origin, religion, marital status, sexual orientation or identity, Veterans or Disability status.

Preference may be extended to qualified Native American Indian candidates

in accordance with applicable federal law.