[Remote] Data Scientist III - AI & Machine Learning
Note: The job is a remote job and is open to candidates in USA. onXmaps, Inc. is a high-growth tech company focused on creating innovative outdoor exploration products. They are seeking a Data Scientist who will be responsible for designing, building, and deploying sophisticated machine learning models to solve complex business problems.
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
Skills
- 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
- 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
Benefits
- Full-time onX employees are eligible for a grant of common share options with a vesting schedule
- A potential annual bonus of 10% based on company performance
- 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
Company Overview