Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.
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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Principal Data Scientist at Early Warning overseeing analytic model development for fraud detection and risk assessment. Leading a team in a dynamic, data - rich environment with collaboration across departments.
WI
Manager of Marketing & Student Recruitment directing recruitment strategies for graduate programs. Collaborating with faculty and prospective students while leveraging marketing strategies.
Data Scientist in Clinical Operations creating analytics and insights that enhance R&D productivity and patient centricity. Collaborating closely with stakeholders to support business needs through advanced analytics and decision support.
Senior Specialist developing data - driven insights and strategies for commercial success at Merck's Ophthalmology team. Engaging with stakeholders to produce actionable analysis rooted in diverse data sources.
Associate Director driving data - driven insights for US marketing teams at healthcare leader. Collaborating on analytics strategies to support commercial objectives in ophthalmology.
Data Scientist focusing on supporting Canadian business units with advanced analytics at Sun Life. Collaborating with cross - functional teams to drive value through data science techniques.
Senior AI and Machine Learning Research Engineer at CACI applying machine learning and statistics to solve complex RF problems and design robust data pipelines. Required to have a strong mathematical background and experience in cloud - based solutions.
Enterprise Data Manager working on data ownership and governance for global organization. Collaborating with business and technology stakeholders to improve data quality and usability.
Senior Manager, Logistics Data & Analytics leading initiatives for data architecture and analytics in global supply. Supporting operational excellence and informed decision - making across various logistics functions.