Improve the lives of injured and disabled workers and enable them to return to the workforce by building and scaling machine learning models for production use.
Requirements
- Deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks)
- Data analysis & modeling
- Proficiency in Python/Pandas/Jupyter
- Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
- Experience with advanced statistical modeling, especially probabilistic programming
- Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
Responsibilities
- Build ML models for production use
- Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
- Suggest and implement new features to improve model performance and business logic
- Write and review production-quality PRs daily
- Translate client business problems into ML problems
- Build scalable machine learning models for claim time series forecasting and NLP text understanding
Other
- 3+ years of experience, especially in highly scalable production environments
- Crisp written and verbal communication skills
- Ability to effectively correspond between technical and non-technical audiences
- Solutions-oriented team player
- Ambitious, collaborative, and empathetic values
- Open to giving and receiving critical feedback and collaborating effectively across teams
- Flexible PTO, 100% paid parental leave, sick days, paid time off
- Full medical, dental, vision, short- & long-term disability, 401k matching
