Über
Develop custom machine learning models and algorithms tailored to business needs. Apply these models to large datasets to generate actionable insights and support strategic decision-making
Collaborate with cross-functional teams to deploy,monitor, andmaintainML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards
Build andmaintainscalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms tooptimizeperformance and cost
Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy
Ensure model governance, documentation, and performance benchmarking. Maintain compliance with Responsible AI and data privacy standards
Build andmaintainscalable data systems andinfrastructure that empower our business teams to make betterdecisions
Minimum Job Qualifications(Knowledge, Skills, & Abilities): Education/Training -Bachelors in math, statistics, engineering, oranother STEM field or equivalent experienceand typically requires10+ years of relevantexperience. Less yearsrequiredifhasrelevantMaster's or Doctorate qualifications. Business Experience - 10+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead.
Experience in at leasttwo or morerelevantdomain(pricing,contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).
Proventrack recordworking in crossfunctional product/engineering environments.
Specialized Knowledge/Skills - Supervised/unsupervised learning, timeseries, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrievalaugmented workflows preferred.
Expert in Python and SQL;proficiencywithPySpark; experience with Azure ML,MLflow, model registries, monitoring/telemetry (e.g., Evidently)and CI/CD.
Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and oncall patterns for ML services.
Feature engineering,working knowledge of healthcare/commercial data sets.
Demonstrated adherence to enterprise cybersecurity standards and securedevelopmentlifecycle for data/ML.
Executive storytelling; ability to translate technical results into decisions and outcomes.
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, pleaseclick here. Our Base Pay Range for this position $158,000 - $263,300
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. 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 welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com. Join us at McKesson!
Sprachkenntnisse
- English
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