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Data Scientist, Applied AI New

Strider Technologies

Salary not specified
Sep 23, 2025
Tysons Corner, VA, US
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Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.

Requirements

  • 3+ years of experience in data science and or analytics.
  • Functional knowledge of Python, SQL, R or other comparable languages. Experience with Elasticsearch is preferred but not required.

Responsibilities

  • Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or get lost on problems we didn’t even know existed.
  • Transform analytics to insights, applying critical business thinking and creative data solutions toward vaguely defined problems.
  • Develop needed technical and analytical skills to introduce new data and or product capabilities to accelerate Strider’s larger mission; leveraging Python, SQL, R, and or other data languages.
  • Collaborate with subject matter experts to deliver value to Strider’s growing list of clients.
  • Establish and uphold a data-driven culture for a small but growing team within Strider’s Engineering function

Other

  • An MS or BS in a quantitative field (e.g. Economics, Statistics, Engineering)
  • Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions.
  • Ability to independently manage deliverables and ruthlessly prioritize your work.
  • A rigorous approach towards data quality and cultivating trust with clients, internally and externally.
  • We are geo-distributed and deeply respect-focused work.