Senior Data Scientist (Member Analytics & Strategy)
About The Position
Provide independent data science, machine learning, and advanced analytical insights using member, financial, and organizational data to support mission‑critical decision‑making across the enterprise. Partner with business units to understand business needs, translate them into analytical solutions, and identify opportunities for new products, services, and process optimization through the application of advanced analytics. Design, develop, and deploy descriptive, predictive, and prescriptive models that inform strategy, improve performance, and optimize member outcomes. Embed analytics into strategic planning and operational workflows to enable leaders to measure what matters, identify growth opportunities, and anticipate member needs. Perform work assignments of increasing complexity under moderate supervision, exercising sound independent judgment. Serve as an experienced professional within the field, applying a strong, well‑developed skill set and proficiency in data science and analytics methodologies.
Requirements
- Applicants must be authorized to work in the United States without the need for current or future sponsorship.
- Strong, well‑developed skill set and proficiency in data science and analytics methodologies.
Responsibilities
- Provide independent data science, machine learning, and advanced analytical insights using member, financial, and organizational data to support mission‑critical decision‑making across the enterprise.
- Partner with business units to understand business needs, translate them into analytical solutions, and identify opportunities for new products, services, and process optimization through the application of advanced analytics.
- Design, develop, and deploy descriptive, predictive, and prescriptive models that inform strategy, improve performance, and optimize member outcomes.
- Embed analytics into strategic planning and operational workflows to enable leaders to measure what matters, identify growth opportunities, and anticipate member needs.
- Perform work assignments of increasing complexity under moderate supervision, exercising sound independent judgment.
- Serve as an experienced professional within the field, applying a strong, well‑developed skill set and proficiency in data science and analytics methodologies.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
