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Strider Technologies is looking for a Data Science Manager to lead a team in building and scaling AI-driven capabilities that sit at the core of their products, aiming to create repeatable data services that power multiple product lines and accelerate delivery through strategic use of AI.

Requirements

• 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 and SQL
• familiarity with search infrastructure (e.g. Elasticsearch) and graph approaches is a strong plus
• Demonstrated success in building AI-augmented workflows, tools, or services
• Experience building reusable, modular data systems that support multiple use cases
• Proven ability to operate in ambiguity, set direction, and drive measurable outcomes over time

Responsibilities

• Build and shape reusable data services with one-to-many applications across Strider’s current and future products.
• Drive the adoption of AI as an accelerant across data science workstreams—automating where possible, scaling intelligently, and pushing for smarter iteration velocity.
• Lead a team to deliver measurable, consistent progress against long-term projects—balancing innovation with velocity and quality.
• Build a culture of metric-driven decision-making, setting clear KPIs for every project and using data to evaluate progress, impact, and resourcing needs.
• Serve as a people leader, developer, and technical mentor—developing talent, guiding architecture, and helping your team navigate ambiguity.
• Stay close to the work: help unblock complex problems, review model assumptions, and challenge the team to raise the bar continuously.
• Help shape the data science strategy, contributing to the long-term vision of the team and continuously improving how we work.

Other

• Collaborate cross-functionally with Engineering, Product, and Intelligence teams to scope high-impact work and align data science contributions with broader company goals.
• Strong product instincts and cross-functional communication skills
• A sharp analytical mindset with a high standard for accountability, precision, and a relentless pursuit of excellence