Senior Data Scientist - AI - Specialty Operations

CVS Health•New York, NY

About The Position

This position involves independently solving complex, ambiguous business problems and bringing new perspectives to existing solutions across operational, financial, and clinical domains. The role requires structuring and leading advanced analytical and AI-driven approaches, including predictive modeling, machine learning, optimization, forecasting, and emerging AI applications, to address high-impact business challenges. The Senior Data Scientist will partner closely with business stakeholders to understand objectives, constraints, and success metrics, translating these into scalable analytical solutions and actionable recommendations. Key responsibilities include acting as an analytics product owner, defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes. The role also entails leading the development of moderately complex solutions with significant business risk and visibility, ensuring rigor, explainability, and operational scalability. The individual will develop and deliver executive-ready presentations to senior leadership and client-facing teams, clearly communicating technical findings, trade-offs, and recommendations. Applying strong knowledge of statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights is crucial. The role requires advanced programming skills to explore, transform, and analyze large and complex datasets from multiple internal and external sources, along with strong consulting skills for proactive problem identification, stakeholder alignment, and influencing 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.
Bachelor's degree or equivalent work experience in Mathematics, Statistics, ComputerScience, Business Analytics, Economics, Physics, Engineering, or related discipline.

Nice To Haves

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.
Master’s degree or PhD preferred.

Responsibilities

Independently solves complex, ambiguous business problems and brings new perspectives to existing solutions across operational, financial, and clinical domains.
Structures and leads advanced analytical and AI-driven approaches (e.g., predictive modeling, machine learning, optimization, forecasting, and emerging AI applications) to address high-impact business challenges.
Partners closely with business stakeholders to understand objectives, constraints, and success metrics; translates these into scalable analytical solutions and actionable recommendations.
Acts as an analytics product owner by defining problem statements, shaping solution approaches, prioritizing workstreams, and driving measurable business outcomes.
Leads development of moderately complex solutions with meaningful business risk and visibility, ensuring rigor, explainability, and operational scalability.
Develops and delivers executive-ready presentations that clearly communicate technical findings, trade-offs, and recommendations to senior leadership and client-facing teams.
Applies strong knowledge of statistical methods, machine learning algorithms, and AI techniques to detect patterns, assess risk, and generate business insights.
Uses advanced programming skills to explore, transform, and analyze large and complex datasets from multiple internal and external sources.
Demonstrates strong consulting skills, including proactive problem identification, stakeholder alignment, and the ability to influence decision-making in cross-functional environments.