Data scientist
FetchJobs.co · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Intro email — drafted to reach them directly.
Job highlights
- Develop predictive models for healthcare forecasting.
- Enhance workforce planning and operational efficiency.
- Collaborate with cross-functional healthcare teams.
- Utilize Python, SQL, and cloud platforms.
- Drive strategic decisions with data insights.
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 is pivotal in developing and refining statistical and predictive models to enhance forecasting accuracy, optimize workforce planning, and drive strategic operational decisions. As a key member of our analytics team, you will collaborate closely with cross-functional partners across operations, workforce management, and analytics teams to translate complex datasets into actionable insights. Your work will directly influence staffing strategies, improve service levels, and contribute to overall business efficiency. The ideal candidate will possess a strong background in data analysis, statistical modeling, and predictive analytics, with the ability to communicate complex findings clearly to both technical and non-technical stakeholders. This role offers an exciting opportunity to leverage advanced analytics techniques to solve real-world healthcare challenges, improve operational performance, and support the company's mission of making healthcare more accessible and affordable.Qualifications
The successful candidate must have a bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field, along with a minimum of four years of experience applying advanced analytics to solve business problems. Proven expertise in forecasting, statistical modeling, and time series analysis is essential. Proficiency in Python (required) and experience with R are necessary, along with advanced SQL skills and experience working with large datasets on cloud-based platforms such as Databricks or Snowflake. Candidates should demonstrate hands-on experience with data modeling, applied mathematics, and analytics-driven visualization techniques. Authorization to work in the U.S. is mandatory, and sponsorship is not available for this role.Responsibilities
- Analyze large, complex datasets to improve forecasting accuracy and support operational planning efforts.
- Develop, maintain, and enhance statistical and predictive models for volume and contact center demand forecasting.
- Apply time series forecasting, predictive modeling, and scenario planning techniques to anticipate future demand patterns.
- Collaborate with stakeholders to identify opportunities for productivity improvements, performance enhancements, and better customer experience.
- Create and present clear, compelling data visualizations and insights tailored to both technical and non-technical audiences.
- Communicate forecasting results and strategic recommendations effectively across internal teams and external partners when necessary.
- Support staffing and workforce planning models, providing guidance based on analytical insights, with oversight from senior team members.
Benefits
Mckesson offers a comprehensive benefits package designed to support our employees' health, financial security, and overall well-being. Our Total Rewards program includes competitive compensation, health insurance, retirement plans, paid time off, and opportunities for professional development. We also promote a flexible work environment to help balance work and personal life. Additional perks may include performance bonuses, long-term incentives, and access to innovative health and wellness resources. Our commitment is to foster an inclusive, collaborative, and engaging workplace where every employee can thrive and contribute meaningfully.Equal Opportunity
Mckesson is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment where everyone is valued and respected. 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 applicants from all backgrounds to apply and provide reasonable accommodations to support candidates with disabilities throughout the recruitment process. For more information on our equal employment policies, please visit our dedicated page. We look forward to welcoming talented individuals who share our commitment to making healthcare accessible and equitable for all.Key skills/competency
- Data Scientist
- Forecasting
- Demand Planning
- Statistical Modeling
- Predictive Analytics
- Time Series Analysis
- Python
- SQL
- Data Visualization
- Healthcare Analytics
Skills & topics
- Data Scientist
- Forecasting
- Demand Planning
- Statistical Modeling
- Predictive Analytics
- Time Series Analysis
- Python
- SQL
- Data Visualization
- Healthcare Analytics
- Analytics
- Data Analysis
- Machine Learning
- Operations Research
- Business Intelligence
- Cloud Computing
- Databricks
- Snowflake
- Statistics
- Mathematics
How to get hired
- Tailor your resume: Highlight your experience in data science, statistical modeling, and forecasting, specifically mentioning Python and SQL skills.
- Showcase your impact: Quantify your achievements in previous roles, demonstrating how your analytical insights drove business improvements.
- Prepare for technical interviews: Brush up on Python, SQL, statistical concepts, and time series analysis. Be ready to discuss your experience with large datasets and cloud platforms.
- Understand McKesson's mission: Research the company's commitment to healthcare accessibility and affordability to align your application with their values.
- Network and inquire: Connect with McKesson recruiters or data science professionals on LinkedIn for insights into the hiring process and specific team needs.
Technical preparation
Practice Python for data manipulation and modeling.,Solve SQL challenges on large healthcare datasets.,Build time series forecasting models.,Prepare for data visualization case studies.
Behavioral questions
Describe a complex data problem you solved.,How do you communicate technical findings?,Share an experience collaborating cross-functionally.,How do you handle ambiguous project requirements?
Frequently asked questions
- What are the key responsibilities for a Data Scientist at McKesson?
- As a Data Scientist at McKesson, you will focus on developing and refining statistical and predictive models for forecasting demand, optimizing workforce planning, and driving strategic operational decisions. This involves analyzing large datasets, applying time series analysis, and collaborating with cross-functional teams to translate data into actionable insights.
- What technical skills are required for the Data Scientist role at McKesson?
- The role requires a bachelor's degree in a quantitative field and a minimum of four years of experience. Essential technical skills include proficiency in Python, advanced SQL, statistical modeling, time series analysis, and experience with cloud platforms like Databricks or Snowflake. Experience with R and data modeling/visualization is also valuable.
- What kind of datasets will a Data Scientist work with at McKesson?
- You will work with large, complex datasets related to healthcare operations, specifically for forecasting volume and contact center demand. This includes historical data to build and improve predictive models for operational planning.
- Does McKesson offer sponsorship for this Data Scientist position?
- No, sponsorship is not available for this Data Scientist role. Authorization to work in the U.S. is mandatory.
- What is the career growth potential for a Data Scientist at McKesson?
- McKesson fosters a culture of growth and impact, offering opportunities for professional development. While specific career paths vary, this role provides a strong foundation in advanced analytics within the healthcare sector, supporting advancement within the company's analytics or operations teams.
- How does McKesson support work-life balance for its employees?
- McKesson promotes a flexible work environment to help employees balance work and personal life. They offer a comprehensive benefits package including paid time off, and aim to foster an inclusive and engaging workplace.
- What is the impact of a Data Scientist's work at McKesson?
- The work of a Data Scientist at McKesson directly influences staffing strategies, improves service levels, and contributes to overall business efficiency by enhancing forecasting accuracy and optimizing operational planning in the healthcare sector.