Missoula, Montana, United States Hybrid Full-time USD 126,000 – 149,000 / year

onX is hiring a Data Scientist III - AI & Machine Learning

Responsibilities

  • 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.

Requirements

  • 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.
  • 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.

Nice to Have

  • Experience with Kubeflow

Benefits

  • 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

Additional Information

  • 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.
  • 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.
  • You’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
Required Skills
BigQuery
About company
onX

Our mission is to awaken the adventurer inside everyone. The call of the wild is in all of us. It provokes exploration. It propels us to ridgelines, coastlines, high crags, deep crannies — those spaces and moments when our heart forges ahead because we can’t turn back. Because we have to know. Because we must experience it for ourselves.

onX is home to a team of passionate explorers. We celebrate our adventures, but we don’t take them for granted. Our appreciation for wild places drives us to preserve access to the recreation that we cherish. As a company, we invest in land access initiatives to expand and protect open spaces. We believe that the more people who experience their own off-the-beaten-path awakening, the more likely they are to join us in protecting these spaces for the future.

onX products are built by adventurers, for adventurers. Our current suite of navigation apps includes onX Hunt, onX Offroad, and onX Backcountry. We believe that every adventurer needs to know where to go, to know where they stand, and to be able to share their experiences.

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Job Details
Department AI team
Category data
Posted 17 days ago