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onX

Data Scientist III - AI & Machine Learning

Department
Engineering
Job Type / Location
Missoula
Experience Required
5+ years
Posted On

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.

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

View Assessment Process

Think you'll be a good fit?