Data Scientist - Predictive Analytics

About the role

CoverMyMeds, part of McKesson, seeks a Data Scientist to support forecasting and demand planning initiatives, including volume and contact center forecasting. This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision-making.

Responsibilities

• Analyze large, complex datasets to improve forecasting accuracy and operational planning
• Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting
• Apply time-series forecasting, predictive modeling, and scenario planning techniques to anticipate demand
• Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience
• Create and present clear data visualizations and insights for technical and non-technical audiences
• Communicate forecasting results and recommendations to internal teams and occasional external partners
• Support optimization of staffing and workforce planning models with guidance from senior team members

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or equivalent experience
• 4+ years of experience applying advanced analytics to solve business problems
• Strong experience with forecasting and statistical modeling, including time-series analysis
• Proficiency in Python (required) and experience with R
• Advanced proficiency in SQL and experience working with large datasets
• Hands-on experience with data modeling, statistics, and applied mathematics
• 4+ years’ experience using Databricks, Snowflake, or similar cloud-based data platforms
• Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues
• Experience creating analytics-driven visualizations and presenting insights clearly
• Comfortable working with moderate autonomy in a collaborative, cross-functional environment

Skills & Experience

• Experience with contact center analytics, workforce management, or operational forecasting
• Background in healthcare, pharmaceutical, biopharma, or insurance environments
• Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees
• Familiarity with Azure, automation, version control, or model deployment workflows
• Strong communication, presentation, and stakeholder-management skills
• Intellectual curiosity, comfort with ambiguity, and desire to continuously learn