• Build and transform new data sources into tables, features, and structures that are easy for the team and our clients to build on • Develop, extend, and validate models — including event-probability models and athleticism models — ensuring data representation supports both current and future use cases • Build metrics and analyses that NHL and NBA clients rely on to make decisions, and support client-facing work by digging into the data to answer their questions directly • Extract meaningful features from high-dimensional tracking and pose data, and update existing models to incorporate new signals as they become available • Validate models and outputs — your own and others' — with enough rigor that the team can trust what ships • Write clear reports that communicate technical work to the product team and broader organization

• Work on a diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing. • Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including site/clickstream measurement, A/B testing, and various industry measurement media platforms. • Partner with CRM, Marketing, and Data Science teams to design and execute advanced measurement frameworks that evaluate campaign effectiveness, incremental revenue impact, and consumer engagement across lifecycle stages. • Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; and presenting complex information using data visualization techniques. • Demonstrate an ability for using data, analytics, and insights driving business-impact. • Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. • Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive. • Apply advanced modeling and analytics techniques to analyze customer journey data across CRM touchpoints including email, messaging, and digital engagement channels. • Identify opportunities to improve customer acquisition, retention, and engagement strategies. • Optimize campaign targeting, channel strategy, and customer journey orchestration.

• Lead the design, development, and deployment of advanced machine learning and generative AI models aimed at improving the efficiency and effectiveness of customer onboarding. • Apply a strong understanding of machine learning fundamentals, various frameworks, and model selection to solve complex business problems. • Stay up-to-date with the latest advancements in data science and AI, actively exploring and integrating cutting-edge techniques into our solutions. • Utilize your robust statistical knowledge to inform model development, interpret results, and ensure the reliability of our analytical insights. • Demonstrate exceptional and creative problem-solving skills to tackle unique challenges within the ServiceTitan customer journey. • Design, implement, and rigorously test Generative AI and ML solutions, evaluating their performance and impact. • Strategically determine the most appropriate modeling approach (traditional ML vs. Generative AI) for specific problems, and effectively design tests to evaluate multiple approaches. • Collaborate closely with engineering and product teams to seamlessly deploy models into production environments, ensuring scalability and performance. • Leverage cloud computing services, preferably Azure, to build and maintain robust data science infrastructure and pipelines.

ABOUT onX We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further. We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver. Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most. We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact. Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access. ABOUT THIS OPPORTUNITY We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful. WHAT YOU'LL DO Essential Job Duties & Functions - End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation. - GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions. - MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments. - Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking. - Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation. WHAT YOU’LL BRING - 5+ years in a professional Data Science role with a track record of deploying models at scale. - Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus. - Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL. - Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference). - Experience with ETL/ELT processes, specifically using dbt. - A strong curiosity for exploring new technologies, including AI - A shared passion for and ability to demonstrate onX’s Company Values. - Permanent US work authorization is a condition of employment with onX. Our Tech Stack - Data Warehouse: BigQuery - Orchestration: Airflow (Cloud Composer) - Modeling: Vertex AI Pipelines, JupyterLab - Deployment: Docker, GKE (Google Kubernetes Engine) Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in. What Sets You Apart - The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates. - Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources. - Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon. THE ONX EXPERIENCE onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration. While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change. Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges. WHERE YOU CAN WORK onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 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 $126,000 to $149,000 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 - Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents - 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 - Flexible time away package that includes PTO, STO, VTO, and paid 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. Application Deadline is [day of week], [month] [day] at [0:00 pm] MST 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 Maps 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. 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.