Data Scientist

Yesterday

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Description

• Provide advanced analytics support within Business Analytics function. • Apply machine learning to improve business outcomes across Health and Risk Solutions business. • Work closely with Clinical 360, PinnacleCare and Health Capability teams. • Develop, monitor and maintain predictive models for various use cases. • Extract and analyze internal and external data sources for risk assessment.

Requirements

• 2+ years of experience in developing and implementing data science techniques. • BS/MS in a statistical, mathematical, or technical field (e.g., computer science). • Healthcare Claims data or health insurance experience preferred. • Proficiency with one or more statistical programming languages (e.g., Python, SQL, R, Tableau). • Strong knowledge of data science including GenAI, modeling, and visualization. • Strong knowledge of the fundamental statistical and AI underpinnings of data science. • Expertise in data munging, transformation, and featurization. • Commitment to data compliance, model governance and security protocols. • Strong business acumen to understand impact on business stakeholders. • Strong communication skills to explain technical concepts to non-technical audience.

Benefits

• Excellent benefits and wellness programs to support mental, physical and financial well-being. • Generous vacation and sick time. • Market-leading paid family, parental and adoption leave. • Partially-paid sabbatical program. • Medical plans. • Company paid life and AD&D insurance as well as disability programs. • Retirement and Stock Purchase programs to enhance future financial security. • 401(k) plan with employer-paid match and employer-funded retirement account. • Flexible work environment with a friendly, caring, collaborative and inclusive culture. • Great Place to Work® Certified in Canada and the U.S. • Named as a “Top 10” employer by the Boston Globe's “Top Places to Work” two years running.

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