Gradient AI is looking to solve the problem of predicting risk more accurately, improving profitability, and automating underwriting and claims in the Group Health and P&C insurance industry using AI-powered solutions.
Requirements
- 3+ years of experience implementing, managing, or optimizing data solutions in a professional setting
- 1+ years of experience using data orchestration frameworks such as Airflow, Dagster, Prefect
- Exposure working with a cloud-computing environment (e.g. AWS EC2)
- Comfortable with Linux, including developing shell scripts
- Experience with distributed platforms such as Apache Spark (PySpark), Databricks, or Snowflake is a bonus
- Exposure to Health, Insurance, Tech or related industry experience specifically working with AI/ML products is a huge bonus
Responsibilities
- Design, build, and implement data systems that fuel our ML and AI models
- Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using Python, SQL, Airflow, AWS, and healthcare-specific big data technologies and analytics platforms.
- Innovate new tools to quickly extract, process, and validate client data from different sources and platforms.
- Work cross functionally with data scientists to transform large amounts of data and store it in a format to facilitate modeling.
- Apply health and bioinformatics expertise to design data pipelines that translate complex medical concepts into actionable requirements.
Other
- BS in Computer Science (or in another quantitative discipline)
- 3+ years of experience implementing, managing, or optimizing data solutions in a professional setting
- Willingness to learn and adapt to new tools
- Unlimited vacation days and flexible schedule that supports working from home
- Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more
