Data Science Manager III at onX

Missoula, Montana, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

185000.0

Posted On

22 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Analytics, GCP, Python, SQL, Spark, Data Governance, MLOps, Agile, Predictive Modeling, Customer Insights, Operational Optimization, Product Innovation, Geospatial Data, Team Leadership

Industry

Software Development

Description

ABOUT onX As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other onXers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences. Through multiple years of growth, we haven’t lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we’re hungry to improve, value innovation, and believe great ideas come from any direction. Important Alert: Please note, onXmaps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page. WHAT YOU WILL DO We're looking for an accomplished Data Science Manager to lead our data science team in delivering high-impact analytics and machine learning solutions across the business. You'll oversee a high performing team driving predictive modeling, customer insights, operational optimization, and product innovation using our rich datasets on Google Cloud Platform (GCP). Reporting directly to the VP of Data, you'll partner closely with product, engineering, and business leaders to translate data into actionable strategies. This role emphasizes strong people leadership, agile delivery, and the ability to communicate complex insights simply to non-technical executives. Experience with geospatial data is a plus but not required—we value broad data science expertise on modern cloud infrastructure. As an onX Data Science Manager, your essential job duties and responsibilities will look like: Lead and mentor a team of 3 data scientists and ML engineers, focusing on technical guidance, career growth, and performance management. Define and prioritize the data science roadmap, aligning projects with company goals across customer behavior modeling, forecasting, recommendation systems, and operational efficiency. Oversee the design, development, and production deployment of advanced machine learning models and analytical solutions at scale. Partner with stakeholders across product, engineering, and business teams to identify high-value opportunities and deliver measurable impact through data. Promote best practices in data governance, model validation, and MLOps on GCP to ensure reliable, scalable solutions. Drive agile ways of working: backlog refinement, sprint planning, and rapid iteration to accelerate business value. Present insights and recommendations to executive leadership through clear storytelling, visualizations, and executive-friendly summaries. Keep the team up to date on GCP innovations (e.g., Vertex AI, BigQuery ML) and emerging data science trends. WHAT YOU’LL BRING 8+ years in data science, machine learning, or advanced analytics, with at least 3 years managing technical teams. Proven track record of delivering business impact through data science in a product-driven tech environment. Hands-on expertise with GCP data and ML services: BigQuery, Vertex AI, Dataflow, BigQuery ML, and related tools. Strong proficiency in Python, Spark, SQL, and common data science libraries (pandas, scikit-learn, TensorFlow/PyTorch, etc.). Demonstrated ability to explain technical concepts and results clearly to non-technical audiences. Experience operating in agile environments with cross-functional collaboration. ADDED BONUSES Though not required, we would be thrilled to consider candidates with any of the following: Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Familiarity with Master Data Management principles to maintain high-quality, governed reference data. Exposure to geospatial tools (e.g., BigQuery GIS) or location-based analytics is a bonus. Experience building and scaling cloud-native MLOps pipelines. If you excel at building high-performing teams, delivering results in an agile setting, and turning data into strategic advantage on GCP, this is your opportunity to shape our data-driven future. We'd love to hear from you! WHERE YOU CAN WORK onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub”. Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time, this is a great option. Basecamps: onX’s Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure. Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. Connection Hubs: onX’s Connection Hub locations are smaller, emerging communities of distributed team members. Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Charlotte, NC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont. HOW YOU’LL BE COMPENSATED onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $158,000 to $185,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance. WHAT WE’RE OFFERING YOU Competitive salaries, annual bonuses, equity, and opportunities for growth Comprehensive health benefits including a no-monthly-cost medical plan Parental leave plan of 5 or 13 weeks fully paid 401k matching at 100% for the first 3% you save and 50% from 3-5% Company-wide outdoor adventures and amazing outdoor industry perks Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym Flexible time away package that includes PTO, STO, VTO, and Holidays. PERFORMANCE ESSENTIALS In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. Position open until filled. #LI-Remote At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us! onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy. As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.

Responsibilities

Lead and mentor a team of data scientists and ML engineers to deliver high-impact analytics and machine learning solutions. Define the data science roadmap and oversee the design and deployment of advanced machine learning models.