Evernorth Health Services
Health Services
DataScienceManager-HIH-Evernorth
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optimal for Manager candidates.
“Data Science Manager-HIH-Evernorth at Evernorth Health Services. Skills: Data Science, Machine Learning, Team Leadership, Business Partnership. Apply statistics. Apply classical machine learning”
Industry & Context.
Business problem-solving; Analytical judgment; Problem solving
2:30PM IST to 11:30PM IST work hours
What They're Looking For.
Must Have
10+ years of experience in data science, Prior experience leading or managing small teams, Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Data Science, Business or a related quantitative field, Advanced proficiency in Python, Advanced proficiency in SQL
Nice to Have
PhD preferred, Candidates from consulting background are preferred, Experience working with large, complex healthcare, insurance, or pharmacy, Experience partnering with US-based stakeholders in a global, matrixed environment is preferred
What You'll Do.
Apply classical machine learning
Apply advanced ML techniques
Design predictive models
Develop predictive models
Evaluate predictive models
Design analytical models
Develop analytical models
Evaluate analytical models
Guide feature engineering
Guide model selection
Guide performance optimization
Build deep learning models
Apply deep learning models
Manage data scientists
Mentor data scientists
Provide technical guidance
Provide constructive feedback
Provide hands-on support
Develop team capability
Foster culture of data science fundamentals
Foster continuous learning
Partner with stakeholders
Understand business context
Frame problems appropriately
Translate business challenges
Define analytical problem statements
Define solution approaches
Define success metrics
Drive data-backed decisions
Communicate recommendations
Communicate trade-offs
Own data science initiatives
Conduct exploratory analysis
Partner with data engineering
Partner with platform teams
Ensure solutions are scalable
Ensure solutions are production-ready
Select model sophistication
Contribute to practice standards
How You'll Work.
Team & Collaboration
Business stakeholders; US-based business leaders; Data science leaders; Analytics leaders; Engineering leaders; Data engineering teams; Platform teams
Communication Scope
Communicate insights; Communicate recommendations; Communicate trade-offs; Clear communicator; Concise communicator
Full Job Description
### The Manager – Data Science is a hands‑on, player‑coach role within the Data Science Center of Enablement at Evernorth Health Services India. This role is designed for an experienced data science leader who combines strong technical depth with the ability to manage and develop small, high‑performing teams while partnering closely with business stakeholders. ### ### The role requires a balance of: ### Hands‑on data science execution ### Technical leadership and mentorship ### Business problem framing and solution design ### ### This individual will work closely with US‑based business, data science, analytics, and engineering leaders to translate complex business problems into practical, scalable data science solutions, while maintaining a strong connection to the underlying models and analytical work. ### ### ### **Key Responsibilities** ### **Hands****‑****On Data Science & Technical Leadership** * ### Remain actively hands‑on in applying statistics, classical machine learning, and advanced ML techniques to solve complex business problems. * ### Design, develop, and evaluate predictive and analytical models, including regression, classification, tree‑based models, ensembles, and time‑series approaches. * ### Guide feature engineering, model selection, validation, and performance optimization. * ### Build and apply advanced machine learning and deep learning models where appropriate, using modern frameworks such as PyTorch and/or TensorFlow. * ### Review and contribute directly to code, ensuring high standards of quality, performance, and maintainability. ### **Team Leadership & Development** * ### Manage and mentor a small team of data scientists, operating as a player‑coach. * ### Provide technical guidance, constructive feedback, and hands‑on support to team members. * ### Help develop team capability across statistics, machine learning, coding, and problem‑solving. * ### Foster a culture of strong data science fundamentals, curiosity, and continuous learning.
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