Data Science Manager

Location

South Jordan, UT, Tysons Corner, VA

Full time

Hybrid

Technology

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.

Strider is seeking a Data Science Manager to lead a team of 5‑10 data scientists in architecting, building, and scaling AI‑driven capabilities that power Strider’s core products. Your team will own some of the most technically challenging problems Strider faces and together you’ll be responsible for defining what we build and how we do it. This team succeeds by developing high‑quality models and systems, accelerating delivery through the smart use of AI, and grounding all work in objective, measurable impact.

We’re looking for someone who is both a doer and a catalyst – someone who thrives on mentoring others and whose passion drives them to continue coding. As a player‑coach, you’ll have an opportunity to transform the business through both hands‑on technical work and people leadership.

You’ll lead your team to prototype fast, iterate intelligently, and help shape how AI elevates Strider’s ecosystem.

• Lead, mentor, and grow a team of 5–10 data scientists, fostering a culture of curiosity, experimentation, and impact.

• Help shape the data science strategy, contributing to the long‑term vision of the team while continuously improving how we work.

• Architect and guide the development of data services and AI systems that power Strider’s current and future products — think entity resolution, knowledge graphs, large‑scale systems that transform unstructured data into structured intelligence.

• Drive the integration and adoption of AI and machine learning that make our data science stack faster, smarter, and more autonomous.

• Oversee end‑to‑end delivery of complex technical projects, helping the team balance innovation, velocity, and precision.

• Partner cross‑functionally with Engineering, Product, and Intelligence teams to translate ambiguous mission statements into technical solutions.

• Define and track metrics for progress and impact, ensuring that every model matures from experimentation to product, delivering quantifiable value.

• Be a coach, technical leader, and mentor – develop talent, guide architecture, and help your team unblock and level up.

• Push Strider’s technical boundaries — propose new methods, prototype novel architectures, advocate for scalable AI systems, and share learnings that move us all forward.

• 6+ years of hands‑on data science experience, including production‑grade model development.

• 2+ years of leadership experience with direct ownership of teams and project delivery.

• Deep expertise in Python; experience with a search infrastructure (e.g., Elasticsearch), graph‑based methods, or distributed data frameworks (Spark, Ray, etc.) is a strong plus.

• Demonstrated success building AI‑augmented workflows, tools, or data services that scale across use cases.

• Proven ability to take a nebulous question, frame it as a technical problem, and deliver a working system that people actually use. You know when to go deep and when to ship.

• Curiosity that borders on obsession — you read papers, explore new methodologies, test new tools, and challenge yourself because you love it.

• Relentless pusuit of excellence.

• You’ll work at the intersection of AI, data science, and intelligence
  , leading the team in developing systems that power Strider’s most critical missions.

• You’ll play a central role in transitioning Strider from smart people solving hard problems to smart systems solving them at scale
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• You’ll have the autonomy to…