Data Scientist
FetchJobs.co · United States
- On site
- Full-time
- United States
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About the role
About The Company
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients.
About The Role
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.
The successful candidate will analyze large, complex datasets to improve forecasting accuracy and operational planning. They will develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting, applying techniques such as time series analysis, predictive modeling, and scenario planning to anticipate demand. Collaborating with stakeholders, the Data Scientist will identify opportunities to improve productivity, performance, and customer experience. Creating and presenting clear data visualizations and insights for both technical and non-technical audiences will be essential, as will communicating forecasting results and recommendations to internal teams and external partners. Additionally, supporting the optimization of staffing and workforce planning models with guidance from senior team members will be a key responsibility.
Qualifications
The ideal candidate should possess a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or an equivalent field. A minimum of four years of experience applying advanced analytics to solve business problems is required. Candidates must have strong experience with forecasting and statistical modeling, including time series analysis, and proficiency in Python (required) and R. Advanced SQL skills and experience working with large datasets are essential, along with hands-on experience in data modeling, statistics, and applied mathematics. Experience with cloud-based data platforms such as Databricks, Snowflake, or similar is highly desirable. Candidates should demonstrate the ability to analyze trends, mine complex transactional data, troubleshoot analytical issues, and create analytics-driven visualizations. Comfort working with moderate autonomy in a collaborative, cross-functional environment is important.
Responsibilities
McKesson offers a comprehensive and competitive benefits package as part of our Total Rewards program. Benefits include health, dental, and vision insurance, retirement plans, paid time off, and wellness programs. We also provide opportunities for professional development, continuous learning, and career advancement. Our flexible work environment supports work-life balance, and we are committed to fostering an inclusive culture that values diversity and innovation. Additional perks may include performance bonuses, long-term incentives, and other recognition programs, all designed to support your growth and well-being.
Equal Opportunity
McKesson is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and dignity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We encourage candidates from diverse backgrounds to apply and offer reasonable accommodations to support applicants with disabilities throughout the recruitment process. For more information on our equal employment opportunity policies, please visit our website.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients.
About The Role
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.
The successful candidate will analyze large, complex datasets to improve forecasting accuracy and operational planning. They will develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting, applying techniques such as time series analysis, predictive modeling, and scenario planning to anticipate demand. Collaborating with stakeholders, the Data Scientist will identify opportunities to improve productivity, performance, and customer experience. Creating and presenting clear data visualizations and insights for both technical and non-technical audiences will be essential, as will communicating forecasting results and recommendations to internal teams and external partners. Additionally, supporting the optimization of staffing and workforce planning models with guidance from senior team members will be a key responsibility.
Qualifications
The ideal candidate should possess a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or an equivalent field. A minimum of four years of experience applying advanced analytics to solve business problems is required. Candidates must have strong experience with forecasting and statistical modeling, including time series analysis, and proficiency in Python (required) and R. Advanced SQL skills and experience working with large datasets are essential, along with hands-on experience in data modeling, statistics, and applied mathematics. Experience with cloud-based data platforms such as Databricks, Snowflake, or similar is highly desirable. Candidates should demonstrate the ability to analyze trends, mine complex transactional data, troubleshoot analytical issues, and create analytics-driven visualizations. Comfort working with moderate autonomy in a collaborative, cross-functional environment is important.
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 for improving productivity, performance, and customer experience.
- Create and present clear data visualizations and insights for technical and non-technical audiences.
- Communicate forecasting results and strategic recommendations effectively to internal teams and external partners.
- Support the optimization of staffing and workforce planning models, collaborating with senior team members for guidance and refinement.
McKesson offers a comprehensive and competitive benefits package as part of our Total Rewards program. Benefits include health, dental, and vision insurance, retirement plans, paid time off, and wellness programs. We also provide opportunities for professional development, continuous learning, and career advancement. Our flexible work environment supports work-life balance, and we are committed to fostering an inclusive culture that values diversity and innovation. Additional perks may include performance bonuses, long-term incentives, and other recognition programs, all designed to support your growth and well-being.
Equal Opportunity
McKesson is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and dignity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We encourage candidates from diverse backgrounds to apply and offer reasonable accommodations to support applicants with disabilities throughout the recruitment process. For more information on our equal employment opportunity policies, please visit our website.