Note: The job is a remote job and is open to candidates in USA. McKesson is an impact-driven, Fortune 10 company that focuses on making quality healthcare more accessible and affordable. The Data Scientist role involves supporting forecasting and demand planning initiatives by developing statistical and predictive models to enhance forecasting accuracy 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

Skills

• 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 (4+ years) with forecasting and statistical modeling, including time‑series analysis
• Proficiency (4+ years) in Python (required) and experience with R
• Advanced (4+ years) SQL and experience working with large datasets
• Hands‑on experience (4+ years) 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
• 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

Benefits

• Competitive compensation package
• Annual bonus or long-term incentive opportunities

Company Overview