Manager III, Data Science

onX • Missoula, MT

3d • $177,000 - $222,000 • Remote

About The Position

onX is seeking a Manager III, Data Science to lead a team of data scientists solving complex problems across its Hunt, Offroad, Backcountry, and Fish products. The role shapes how data science improves customers’ ability to plan adventures, navigate terrain, and make informed decisions outdoors by turning complex data and questions into useful product capabilities.

This is a hands-on leadership position combining technical work with people development. The manager works alongside the team to design, build, and evaluate models and analyses; provides scientific direction and technical judgment on complex, ambiguous problems; coaches data scientists; and strengthens team practices. Reporting to the Director of Data, the role partners with Product, Engineering, BI, and User Research to identify opportunities, align priorities, and lead work from exploration through delivery. It has autonomy to lead the team and make technical and prioritization decisions within established strategic direction.

The position is part of a distributed U.S. company with offices in Bozeman and Missoula, Montana, and remote workforce hubs called Basecamps in several cities. onX strongly prefers candidates near an office or Basecamp and can employ people only in eligible states. The role requires quarterly travel for multiple days to a corporate office or another strategic location. Applicants must have permanent U.S. work authorization. The position is open until filled.

Requirements

• Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline, or equivalent experience demonstrating advanced technical and scientific expertise.
• At least 8 years of experience in data science, machine learning, or advanced analytics, including at least 3 years managing and developing technical teams.
• Demonstrated ability to lead, coach, and develop data scientists, set expectations, manage performance, and build teams that deliver high-quality results.
• Deep expertise in statistical modeling, machine learning, and experimental design; strong hands-on Python and SQL skills; and experience delivering models on cloud platforms.
• Ability to independently frame ambiguous problems, design rigorous investigations, evaluate methodological trade-offs, and translate complex analyses into actionable customer or business outcomes.
• Experience leading complex data science initiatives from research through delivery, making technical and prioritization decisions while navigating uncertainty, competing demands, and delivery risks.
• Strong communication and cross-functional leadership skills, including influencing stakeholders, resolving competing priorities, and building alignment around technical approaches and business outcomes.
• Ability to establish scientific rigor through thoughtful evaluation of data quality, bias, uncertainty, model performance, and research limitations.
• Curiosity about emerging technologies, including AI, and ability to evaluate and responsibly apply new tools to improve technical workflows and team effectiveness.
• Shared passion for and ability to demonstrate onX’s Company Values.
• Permanent U.S. work authorization.
• Ability to travel quarterly for multiple days to a corporate office or other onX strategic location.

Nice To Haves

• Experience with geospatial or temporal modeling, recommendation systems, or customer behavior analysis.
• Experience with Google Cloud Platform (GCP), particularly BigQuery, Dataproc, or Vertex AI.
• Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
• Experience evaluating AI-powered product features or developing reusable research and machine learning tools and frameworks.

Responsibilities

• Design, implement, and evaluate sophisticated models and analyses to solve complex customer and business problems.
• Provide scientific and technical direction, including sound decisions about problem framing, methods, data quality, bias, leakage, uncertainty, baselines, and evaluation criteria.
• Strengthen team technical capabilities through code reviews and pairing.
• Lead and develop data scientists by setting expectations, coaching and providing feedback, managing performance, and building team capabilities.
• Own and prioritize the Data Science team roadmap with the Director of Data and cross-functional stakeholders, balancing impact, feasibility, capacity, and research opportunities.
• Define objectives and success criteria for initiatives and use rigorous evaluation, baselines, and bounded experiments to assess opportunities and outcomes.
• Lead Data Science initiatives from research and exploration through production integration, evaluation, and ongoing support; plan work and address risks and dependencies.
• Build alignment with Product, Engineering, BI, and User Research, resolve cross-functional challenges, and establish expectations and accountability for shared outcomes.
• Establish data contracts, acceptance criteria, and operational ownership; develop reusable and reproducible capabilities; and communicate findings through prototypes and actionable recommendations while applying appropriate privacy and access controls.
• Identify opportunities to improve Data Science practices through experimentation and responsible AI use, evaluating new approaches and validating results.

Benefits

• Competitive salaries, annual bonuses, equity, and opportunities for growth.
• Comprehensive health benefits, including a no-monthly-cost medical plan.
• Paid parental leave: 13 weeks for birthing parents and 5 weeks for non-birthing parents.
• 401(k) matching at 100% for the first 3% saved and 50% from 3% to 5%.
• Company-wide outdoor adventures and outdoor industry perks.
• Annual “Get Out, Get Active” funds.
• Flexible time-away package that includes PTO, STO, VTO, and paid holidays.
• Full-time employees are eligible for a grant of common share options with a vesting schedule and an annual bonus of 10% based on company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager