Senior Data Scientist – AI, Specialty Operations

Job not on LinkedIn

🕒 July 22

🗽 New York – Remote

🗽 New York – Remote

💵 $102k - $222.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

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

• Independently solve complex, ambiguous business problems across operational, financial, and clinical domains • Structure and lead advanced analytical and AI-driven approaches, including predictive modeling, machine learning, optimization, forecasting, and emerging AI applications • Partner with business stakeholders to understand objectives, constraints, and success metrics • Translate business needs into scalable analytical solutions and actionable recommendations • Act as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes • Lead development of moderately complex solutions with meaningful business risk and visibility • Ensure analytical rigor, explainability, and operational scalability • Develop and deliver executive-ready presentations communicating technical findings, trade-offs, and recommendations • Apply statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights • Use advanced programming skills to explore, transform, and analyze large and complex datasets from internal and external sources • Identify problems proactively, align stakeholders, and influence decision-making in cross-functional environments

🎯 Requirements

• 3+ years of analytics experience independently driving end-to-end analyses and initiatives with demonstrated business impact • 3+ years of data science experience, preferably in consulting or highly cross-functional environments • Experience in SQL and data visualization tools (e.g., Tableau or similar BI platforms) • Experience programming in Python and/or R for data analysis, modeling, and solution development • Proven ability to communicate complex technical concepts clearly to non-technical audiences • Demonstrated ability to manage multiple priorities and deliver high-quality work in fast-paced, evolving environments • Strong knowledge of advanced analytics and AI techniques, including predictive modeling, machine learning, forecasting, optimization, and experimentation methodologies • Experience working with large, multi-source datasets in healthcare, pharmacy, or other regulated industries • Experience designing scalable analytical solutions that move from prototype to production • Anticipates risks, identifies roadblocks early, and proactively proposes mitigation strategies • Demonstrates executive presence and the ability to influence senior stakeholders and client-facing teams • Demonstrates depth in one or more specialized areas (e.g., forecasting, causal inference, NLP, AI applications, risk modeling) while maintaining broad applied data science capability • Bachelor's degree or equivalent work experience in Mathematics, Statistics, ComputerScience, Business Analytics, Economics, Physics, Engineering, or related discipline

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program in addition to the base pay range