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. They are seeking a Data Scientist to enhance statistical and predictive models for forecasting and demand planning, working closely with cross-functional partners to translate complex data into actionable insights.
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
- Must be authorized to work in the U.S. (no sponsorship available)
- 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 at McKesson as part of our Total Rewards
- Annual bonus or long-term incentive opportunities may be offered
Company Overview