
10,000+ employees
Founded 1982
🏥 Healthcare
⚕️ Healthcare Insurance
💊 Pharmaceuticals
Healthcare • 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.
🕒 September 2
🦌 Connecticut – Remote
💵 $149.1k - $248.5k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
👻 Ghost score 39%
Where this job comes from
Posted on The Cigna Group's careers page ↗, not through a job board
First seen by Remote Rocketship September 2
Still open on The Cigna Group's site. Checked 9 hours ago.

10,000+ employees
Founded 1982
🏥 Healthcare
⚕️ Healthcare Insurance
💊 Pharmaceuticals
Healthcare • 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.
• Lead, coach, and develop a team of Data Scientists • Build a culture of learning, collaboration, technical excellence, and innovation • Guide the strategy and long-term evolution of renewal risk estimation capabilities, including a flagship renewal risk model and related analytics • Set priorities and allocate resources across high-impact data science initiatives • Provide technical direction for solution design, predictive modeling, machine learning, statistical analysis, forecasting, model evaluation, and risk estimation • Establish standards for peer review, documentation, validation, monitoring, performance tracking, governance, and model maintenance • Improve model performance, explainability, reproducibility, reliability, and business relevance • Partner with pricing, underwriting, actuarial, data, technology, and analytics teams • Translate business needs into analytical roadmaps and production-ready solutions • Communicate model outputs, assumptions, limitations, and recommendations to technical and non-technical audiences • Support stakeholder adoption of analytical solutions in pricing and underwriting workflows
• 8+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field • Experience developing predictive models, machine learning solutions, and advanced analytical methods using large, complex datasets • Experience leading Data Scientists and delivering complex analytical initiatives that solve business problems and influence decisions • Strong knowledge of statistical modeling, predictive analytics, machine learning, model evaluation, and experimental design • Proficiency with Python, SQL, Spark, and machine learning frameworks • Experience developing, validating, monitoring, and governing analytical models in production environments • Strong communication and stakeholder management skills, including the ability to explain complex concepts to varied audiences • Ability to balance strategic leadership with hands-on technical contribution • Bachelor's or advanced degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative field is preferred • Experience with healthcare data, including medical claims, pharmacy claims, eligibility, provider, consumer, or related datasets • Experience supporting pricing, underwriting, risk assessment, forecasting, or related business functions • Experience deploying and supporting machine learning solutions in production • Experience leading cross-functional work across business, analytics, and technology teams • Familiarity with responsible AI, model governance, and explainability practices • For home working, internet connection must be through a cable broadband or fiber optic provider with at least 10Mbps download/5Mbps upload
• Annual bonus 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 • Remote work/home working arrangement
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 September 2
Senior Data Scientist building and monitoring real-time fraud-detection machine learning models for fintech company Mercury. Improving risk analytics, data quality, deployment, and model observability.
🇺🇸 United States – Remote
💵 $166.6k - $250.9k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 September 1
Manager leading data collection, annotation, and validation for Zipline’s autonomous drone delivery network. Scaling ML datasets across operations, engineering, and autonomy teams.
🇺🇸 United States – Remote
💵 $150k - $180k / year
💰 $330M Series F on 2023-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 September 1
Customer Data Scientist optimizing AML and fraud detection models for Hawk’s banking and payments customers. Translating model performance into compliant, measurable customer value.
🇺🇸 United States – Remote
💵 $150k - $225k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 September 1
Lead Data Scientist applying causal inference and experimentation to Paramount’s streaming subscriber growth and retention. Building LTV models and analytics for lifecycle, product, pricing, and promotion decisions.
🇺🇸 United States – Remote
💵 $139k - $200k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 September 1
Senior Data Scientist measuring incremental marketing impact for Wpromote’s digital marketing clients. Designing incrementality tests, media mix models, and causal analyses to guide media investment decisions.