Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Data Scientist at Elevance Health developing predictive models for healthcare analytics and optimization. Collaborating to enhance member experiences with innovative solutions and AI techniques.
Responsibilities
- Design predictive modeling projects to address specific business problems determined by consultation with business partners
- Work with data-sets of varying degrees of size and complexity including both structured and unstructured data
- Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis
- Implements batch and real-time model scoring to drive actions
- Develops proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions
- Develop sophisticated visualization of analysis output for business users
- Provides high-level controllership/evaluation of all output produced to ensure established targets are met
- Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables
Requirements
- Requires a Bachelor’s degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines
- 3 or more years experience in predictive analytics
- Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner or equivalent
- PhD and experience in the healthcare sector preferred
- Experience in Jupyter notebook server and notebooks and MLFlow is highly preferred
- General working knowledge of the following tech/platform stack is preferred (Spark , EzPresto , KubeFlow, Airflow , Feast , Ray and Superset)
- Experience with version control systems (Git/Bitbucket/Github, etc.) is preferred
- SQL experience preferred
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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