At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer
Requirements
- Strong proficiency in Python and cloud services (AWS, GCP, Azure)
- Familiarity with Docker, Kubernetes, MLflow, and Databricks
- Experience with monitoring frameworks (Prometheus, Grafana)
- Exposure to distributed computing or big data frameworks (Spark)
Responsibilities
- Develop and evaluate machine learning models for structured and unstructured data
- Perform data wrangling, feature engineering, and exploratory data analysis
- Contribute to model evaluation, visualization, and documentation of results
- Apply strong problem-solving and analytical skills to real-world datasets
- Support and comply with the company’s Quality Management System policies and procedures
- Maintain regular and reliable attendance
- Ability to act with an inclusion mindset and model these behaviors for the organization
Other
- Master’s or PhD candidate in Computer Science, Data Engineering, or related field
- Authorization to work in the United States without sponsorship
- Ability to work designated schedule
- Display effective collaboration and communication skills in cross-functional team settings
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
