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Data Science Director - Precision Pricing / UW - Hybrid
remotepromsp
Remote · India Full-time Executive Yesterday
About the role
About
We are seeking a highly skilled and innovative Data Science Director to join our team. This role will report directly to the leader of the US Employer Precision Underwriting/Pricing Program, a critical segment priority. The Data Science Director will play a pivotal role in advancing the integration of new technologies, including AI and Machine Learning, throughout our Underwriting Quoting Process. You will lead a dynamic team of data scientists and collaborate closely with Actuarial, Underwriting, and Data & Analytics teams to drive profitable growth and enhance our underwriting and pricing strategies.
Responsibilities
- Lead the development of advanced statistical and machine learning models to support underwriting and pricing initiatives
- Design experiments using innovative modeling techniques and data sources to assess effectiveness at predicting claims costs and other drivers
- Deepen understanding of client and/or customer-level variability through use of sophisticated modeling techniques
- Assess existing data infrastructure and influence strategic decision-making around future data investments
- Provide strategic recommendations to senior leadership based on data analysis and business insights
- Foster a culture of continuous improvement and innovation within the data science team
- Build and maintain strong relationships with various stakeholders (data science COE, pricing, underwriting, etc.)
Requirements
- Advanced degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience
- Proven experience in leading data science teams and managing cross-functional projects
- Expertise in statistical modeling and machine learning techniques such as regression, decision trees, boosting algorithms, neural networks, supervised/unsupervised clustering techniques, and graph analytics
- Strong proficiency in programming languages such as Python, R, or SQL
- Experience with data mining architectures, models, protocols, and statistical reporting
- In-depth knowledge of the healthcare payer space and the ability to bring in an outside perspective
- Exceptional problem-solving skills and the ability to perform insightful and actionable quantitative analysis
- Strong interpersonal skills and the ability to build relationships and navigate within a complex organization
- Excellent communication skills and the ability to influence stakeholders at all levels
Benefits
- Comprehensive health-related benefits including medical, vision, dental, and well-being and behavioral health programs
- 401(k) with company match
- Company paid life insurance
- Tuition reimbursement
- Minimum of 18 days of paid time off per year
- Paid holidays
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Requirements
- Advanced degree in Data Science, Statistics, Computer Science, or a related field, or equivalent work experience
- Proven experience in leading data science teams and managing cross-functional projects
- Expertise in statistical modeling and machine learning techniques such as regression, decision trees, boosting algorithms, neural networks, supervised/unsupervised clustering techniques, and graph analytics
- Strong proficiency in programming languages such as Python, R, or SQL
- Experience with data mining architectures, models, protocols, and statistical reporting
- In-depth knowledge of the healthcare payer space and the ability to bring in an outside perspective
- Exceptional problem-solving skills and the ability to perform insightful and actionable quantitative analysis
- Strong interpersonal skills and the ability to build relationships and navigate within a complex organization
- Excellent communication skills and the ability to influence stakeholders at all levels
Responsibilities
- Lead the development of advanced statistical and machine learning models to support underwriting and pricing initiatives
- Design experiments using innovative modeling techniques and data sources to assess effectiveness at predicting claims costs and other drivers
- Deepen understanding of client and/or customer-level variability through use of sophisticated modeling techniques
- Assess existing data infrastructure and influence strategic decision-making around future data investments
- Provide strategic recommendations to senior leadership based on data analysis and business insights
- Foster a culture of continuous improvement and innovation within the data science team
- Build and maintain strong relationships with various stakeholders (data science COE, pricing, underwriting, etc.)
Benefits
Comprehensive health-related benefits including medical, vision, dental, and well-being and behavioral health programs401(k) with company matchCompany paid life insuranceTuition reimbursementMinimum of 18 days of paid time off per yearPaid holidays
Skills
Statistical modelingMachine learningRegressionDecision treesBoosting algorithmsNeural networksSupervised clusteringUnsupervised clusteringGraph analyticsPythonRSQLData mining architecturesData mining modelsData mining protocolsStatistical reportingHealthcare payer domain knowledge
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