Dieses Stellenangebot ist nicht mehr verfügbar
Data Scientist III - AI & Machine Learning
onXmaps, Inc.
- United States
- United States
Über
onX is a distributed company that builds products to help people confidently explore the outdoors. We operate with an experimentation mindset, use the latest tooling thoughtfully, and aim to balance human judgment with technology to improve quality, speed, and impact. Our mission is to awaken the adventurer inside everyone and to grow through land stewardship and recreational access. 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 models that solve complex business problems. You are an expert in building the pipelines that make models reliable, scalable, and impactful. What You’ll Do
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 Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, Pub/Sub) to build robust, cloud-native ML solutions. MLOps & Engineering: Implement CI/CD for machine learning (Continuous Training) to ensure models remain performant in production. Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for code quality and experiment tracking. Embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work and 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. Kubeflow experience is a 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 demonstrated alignment with onX’s 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 Tips and Company Values
We value "clean code" and thoughtful notebooks. If you treat your notebooks like production scripts and maintain a clear Git history, you’ll fit right in. Where You’ll Work
onX has a distributed workforce with multiple US locations, including two HQs in Bozeman and Missoula, MT, and virtual basecamps in several cities. You’ll have autonomy within clear strategic boundaries and opportunities to grow your craft while solving problems that scale across teams. Compensation & Benefits
For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range varies based on experience and other factors. Full-time employees are eligible for stock options with a vesting schedule and the potential for a 10% annual bonus based on company performance, in addition to comprehensive benefits. Competitive salaries, annual bonuses, equity, and growth opportunities 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 up to 3% with 50% match from 3–5% Outdoor-focused company perks and annual activity funds Flexible time away including PTO, STO, VTO, and paid holidays EEO & Compliance
onX is an equal opportunity employer and is committed to fairness in hiring, development, compensation, and promotion. We provide reasonable accommodations to ensure accessibility and encourage applicants to contact us for assistance if needed. Our privacy and recording notices apply to the interview process.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.