Senior Data Scientist, Core AI & Data Services

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.

About the Role

Strider is seeking a Senior Data Scientist to architect, build, and scale AI-driven capabilities that power Strider’s core products. You’ll own some of the most technically challenging problems Strider faces and you’ll be responsible for defining what we build and how we do it.

This is a hands-on role for a data scientist who thrives on complexity and is eager to apply machine learning an AI in creative, production-ready ways. You’ll collaborate across teams, shape analytical methods, and help bring clarity and structure to massive, messy, proprietary data.

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

What You Will Do

Architect data services that power Strider’s current and future products — think entity resolution, knowledge graphs, large-scale systems that transform unstructured data into structured intelligence.

Integrate AI and machine learning into workflows to make our data science stack faster, smarter, and more autonomous.

Own end-to-end delivery of complex technical projects, from scoping and design to deployment and validation, balancing 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.

Push the team’s technical boundaries – exploring new methods and tools that expand what’s possible for Strider’s AI and data science capabilities

What You Will Need to Be Successful

4+ years of hands-on data science experience, including production-grade model development.

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.

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.

Why Join This Team

You’ll work at the intersection of AI, data science, and intelligence , 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 .

You’ll have the autonomy to innovate—designing architecture, improving processes, and influencing the evolution of Strider’s AI capabilities.

You’ll collaborate with a team of motivated engineers, data scientists, and intelligence analysts committed to pushing technical boundaries and redefining what is possible in data-driven intelligence.

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.