Senior Data Scientist

We are seeking a Senior Data Scientist to join a growing Data & Analytics team. This individual will lead end-to-end data science initiatives, partnering with business and technical stakeholders to transform complex healthcare data into actionable insights, predictive models, and AI-driven solutions.

This is a hands-on role for someone who can move seamlessly between data engineering, analytics, machine learning, and production deployment. The ideal candidate is comfortable working with large-scale healthcare datasets, building scalable data pipelines, developing and monitoring models, and ensuring the quality and reliability of data science solutions in production environments.

Responsibilities

• Lead end-to-end data science projects from data acquisition and exploration through deployment and ongoing optimization.

• Build and maintain scalable data pipelines and datasets for analytics, machine learning, and AI use cases.

• Develop predictive models and advanced analytics solutions using statistical and machine learning techniques.

• Design and implement model monitoring, validation, and performance measurement frameworks.

• Establish data quality standards, testing strategies, and QA processes for data science deliverables.

• Partner with business stakeholders, product teams, and engineers to translate business challenges into analytical solutions.

• Leverage modern AI and LLM technologies to develop intelligent workflows and accelerate business outcomes.

• Present findings and recommendations to both technical and non-technical audiences.

• Mentor team members and promote data science best practices across the organization.

• Master’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, Public Health, or a related quantitative field.

• 5+ years of professional Data Science experience.

• Strong experience with Python and SQL.

• Experience building and deploying end-to-end machine learning solutions.

• Experience working with large-scale healthcare datasets.

• Background in healthcare claims, pharmacy, prior authorization, or related healthcare data domains.

• Experience with model validation, monitoring, and data quality frameworks.

• Ability to communicate complex analytical concepts to technical and business stakeholders. * Experience with Google Cloud Platform (GCP), BigQuery, or other cloud-based analytics platforms.

• Experience with MLOps, model deployment, and production support.

• Experience with AI, Large Language Models (LLMs), agentic workflows, or generative AI solutions.

• PhD in a related quantitative field.

• Experience working with highly regulated or healthcare-focused data environments.