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.
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.

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.

Senior Data Scientist – AI, Specialty Operations

Key skills