Data Scientist - Predictive Analytics

Role Overview We are 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 work closely with cross-functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes. Key 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

Priority will be given to candidates who reside in the Columbus, OH metropolitan area We are unable to provide sponsorship for work authorization for this role, presently or in the future. Minimum 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

Critical Skills & Experience

• 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

Preferred / Nice-to-Have

• 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

Additional Information

• Must be authorized to work in the U.S. (no sponsorship available)
• Standard office/remote work environment

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $108,800 - $181,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. Apply tot his job Apply To this Job