Data Science Director

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $178.5k - $297.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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The Cigna Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

Healthcare • Insurance

The Cigna Group is a global health services company that provides medical, dental, pharmacy, behavioral and supplemental insurance products and benefits to individuals, families, employers, brokers, providers and Medicare beneficiaries. It offers employer-sponsored group plans, individual and family plans (including Open Enrollment offerings), Medicare, international health insurance covering more than 200 countries, and digital member services through the myCigna platform (including telehealth and claims management). Its products are delivered through operating subsidiaries such as Cigna Health and Life Insurance Company and other regional affiliates.

📋 Description

• Lead the strategy, development, enhancement, and support of machine learning models for pricing, underwriting, risk scoring, presale, and renewal decision-making • Establish and improve model lifecycle practices, including development, validation, monitoring, documentation, governance, release management, and model refresh processes • Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics • Drive execution across multiple model products by prioritizing work, managing delivery plans, coordinating releases, and ensuring reliable production support • Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and governance teams to embed model outputs into business processes and decision frameworks • Translate complex analytical concepts into clear business insights regarding model performance, limitations, opportunities, and risks • Ensure compliance with model governance, audit, documentation, and monitoring requirements • Build and develop a high-performing data science organization through coaching, talent development, collaboration, accountability, and continuous improvement

🎯 Requirements

• 10+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field • 5+ years of experience leading and developing technical teams responsible for production-grade analytics or machine learning solutions • Strong expertise in machine learning, statistical modeling, model monitoring, validation, and explainability techniques • Hands-on experience with Python, SQL, Git, and modern analytics development practices • Experience managing model lifecycle processes, including governance, documentation, monitoring, testing, and production support • Demonstrated ability to influence senior business and technical stakeholders and translate complex analytical findings into actionable business decisions • Preferred: Experience with healthcare payer data, claims analytics, pricing, underwriting, risk adjustment, actuarial analytics, or other risk-focused domains • Preferred: Experience with Databricks, Spark, cloud-based analytics platforms, or large-scale data environments • Preferred: Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Actuarial Science, or a related quantitative discipline • If working at home, internet service must be through a cable broadband or fiber optic provider with speeds of at least 10Mbps download/5Mbps upload

🏖️ Benefits

• Annual bonus eligibility • Long-term incentive plan eligibility • Medical benefits • Vision benefits • Dental benefits • Well-being and behavioral health programs • 401(k) • Company-paid life insurance • Tuition reimbursement • Minimum of 18 days of paid time off per year • Paid holidays • Leaves of absence

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