Forecasting Data Scientist — Demand Analytics & Insights

RXinsider LTD.; Columbus (OH); Hybrid; USD 108,800 - 181,300; Full time

Job summary

McKesson is seeking 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.

You will collaborate with operations, workforce management, and analytics teams to translate complex data into actionable insights that drive business outcomes.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent experience.
• 4+ years applying advanced analytics to solve business problems.
• Strong Python (4+ years) and SQL experience; experience with large datasets.

Responsibilities

• Analyze large, complex datasets to improve forecasting accuracy and planning.
• Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting.
• Apply time-series forecasting, predictive modeling, and scenario planning 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 external partners.
• Support staffing and workforce planning models with guidance from senior team members.

Skills

Forecasting

Statistical modeling

Python

SQL

Databricks

Snowflake

Time-series

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent

Tools

Azure

Version Control

Model Deployment

Job description

McKesson is seeking 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.

You will collaborate with operations, workforce management, and analytics teams to translate complex data into actionable insights that drive business outcomes.