Data Science Director

🔥 16 hours ago

🦌 Connecticut, New York, +1 more states – Remote

🦌 Connecticut – Remote 🗽 New York – Remote 🌲 North Carolina – Remote

💵 $178.5k - $297.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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The Cigna Group

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare Insurance • Pharmaceuticals

The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.

📋 Description

• Lead the strategy, development, enhancement, and support of machine learning models that enable pricing, underwriting, risk scoring, presale, and renewal decision-making. • Establish and continuously 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, helping stakeholders understand model performance, limitations, opportunities, and risks. • Ensure compliance with model governance, audit, documentation, and monitoring requirements while maintaining high standards for quality and operational reliability. • 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.

🏖️ Benefits

• medical • vision • dental • well-being and behavioral health programs • 401(k) • company paid life insurance • tuition reimbursement • a minimum of 18 days of paid time off per year • paid holidays • leaves of absence