Senior Data Scientist
Company: Integres, LLC
Location: Washington, DC (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-01
About this role
Company Description
Integres, LLC is a Service-Disabled Veteran Owned Small Business (SDVOSB) which was established to provide high quality, insightful, agile information technology-based solutions to its customers. Integrity is a foundational element of everything we strive to do. We seek to develop solutions which respond to the evolving challenges that today’s organizations face using our own unique combination of industry best practices, and evolving techniques and technologies. We started Integres with the intent of building "a company with a soul". As such, we take a servant-leadership approach as the long-term strategy for our success. We are cultivating a corporate family culture which demands excellence and accountability while putting a premium on work/life balance. We empower and support our employees to contribute to achieving our corporate goals by interacting with our customers as true partners, rather than treating their engagement as just another job. We seek to be good corporate citizens and encourage and promote employee participation in community and volunteer work.
Job Description
- **Position:** Senior Data Scientist
- **Location:** Remote
- **Client:** Office of the Inspector General (OIG)
- **Candidates Required:** 2
- **Work Authorization:** US Citizen
Responsibilities:
- Assist TSD with data analytic products by providing highly skilled and authoritative expertise on analytic methods.
- Perform data quality analysis on source tables to identify any abnormalities or inconsistencies.
- Review, maintain, and provide support using all existing fraud indicators developed by TSD.
- Develop and refine repeatable processes for efficiently combining and analyzing large data sources (including relational tables, structured and unstructured datasets).
- Collaborate closely with criminal investigators to determine and execute strategies to support cases; proactively address and communicate potential data quality issues and adapt anal...