Senior Decision Scientist – Specialty Operations

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🔥 14 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $111.2k - $222.5k / year

⏰ Full Time

🟠 Senior

⚙️ Operations

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Partner with Specialty Operations leaders to solve complex business problems using data, analytics, and quantitative decision-making • Translate ambiguous business questions into analytical frameworks • Generate actionable insights and influence strategic and operational decisions • Serve as a trusted advisor to business stakeholders • Combine strong statistical reasoning, business acumen, and structured problem-solving to identify opportunities for operational improvement • Emphasize rapid hypothesis generation, statistical analysis, experimentation, forecasting, and communicating clear recommendations that drive measurable business outcomes

🎯 Requirements

• 3 + years of experience in analytics, decision science, management consulting, business analytics, data science, operations research, or a related quantitative field • Demonstrated experience solving complex business problems using statistical analysis and data-driven decision making • Strong analytical and critical thinking skills with the ability to structure ambiguous problems into actionable analytical approaches • Experience conducting statistical analyses such as hypothesis testing, regression, forecasting, segmentation, and experimental design • Proficiency in SQL and experience using Python or R for data analysis and statistical modeling • Ability to synthesize large datasets into concise, actionable insights for business and executive audiences • Strong communication, storytelling, and presentation skills with experience influencing cross-functional stakeholders • Experience partnering directly with business leaders to prioritize opportunities and develop data-informed recommendations • Ability to manage multiple initiatives in a fast-paced, highly collaborative environment

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility