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Über
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. Analyze large, complex datasets to improve
forecasting accuracy and operational planning 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 Support optimization of staffing and workforce planning models with guidance from senior team members
Bachelor’s degree in
Data Science, Statistics, Mathematics, Computer Science, Engineering
, or equivalent 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 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 Standard office/remote work environment
This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. 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. 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 . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.Join us at McKesson!
Sprachkenntnisse
- English
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