Data Science Manager

Strider Technologies • South Jordan, UT

74d

About The Position

Strider is looking for a Data Science Manager to lead a team of 5-10 data scientists in building and scaling AI-driven capabilities that sit at the core of our products. This team's work is fundamental to Strider's strategy: creating repeatable data services that power multiple product lines, accelerating delivery through strategic use of AI, and grounding everything we build in objective, measurable impact. Your team will own some of the most complex technical challenges at Strider-particularly, but not limited to, entity resolution of people and organizations. You'll be responsible for both the how and the what: delivering high-quality models and services, and creating the processes, priorities, and culture that make it possible.

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
• 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

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.
• Collaborate cross-functionally with Engineering, Product, and Intelligence teams to scope high-impact work and align data science contributions with broader company goals.
• 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.

Benefits

• Competitive Compensation
• Company Equity Options
• Flexible PTO
• Wellness Reimbursement
• US Holidays (Office Closed)
• Paid Parental Leave
• Comprehensive Medical, Dental, and Vision Insurance
• 401(k) Plan

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Industry: Publishing Industries
• Number of Employees: 101-250 employees