Sr. Data Scientist, Pharmaceutical Supply Chain

This role will participate throughout the full solution lifecycle, from ideation and proof of concept through production deployment and business adoption. Success in this position requires a combination of analytical expertise, business acumen, technical proficiency, and stakeholder influence.

Key Responsibilities

• Accelerate AI-enabled decision-making by partnering with data governance, product, and technology teams to leverage governed data assets, semantic layers, and AI/LLM technologies that enable business users to access trusted insights more efficiently.
• Design and develop heuristics, optimization models, and advanced analytics solutions across customer, product, and operational domains to improve business outcomes.
• Utilize qualitative and quantitative data to identify opportunities, develop hypotheses, pilot proof-of-concept solutions, and scale successful models across the enterprise.
• Apply data science and analytical methodologies to identify market trends, process improvement opportunities, strategic synergies, and actionable business recommendations.
• Support digital data acquisition and integration strategies while building scalable data pipelines that complement existing enterprise data assets.
• Leverage CSI's data infrastructure to develop next-generation analytical models focused on customer value creation, margin expansion, and operational efficiencies.
• Drive experimentation and causal learning through pilots, A/B testing, and other measurement methodologies to quantify business impact and improve decision-making.
• Break down complex business challenges into scalable workstreams and collaborate across functional teams to drive solution adoption and implementation.
• Develop and deploy scalable Python-based APIs and data products that integrate with enterprise applications and business systems.
• Build and scale AI agents that enable business users to interact with data using natural language, uncover insights, identify opportunities, and make faster, more informed decisions.
• Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders.

Minimum Requirements

• Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience.
• Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline.

Critical Skills

• 5+ years of experience in analytics, data science, business intelligence, or a related field.
• Proven experience leveraging analytics to drive measurable business value and strategic outcomes.
• Strong understanding of software engineering principles and API development used to commercialize analytical products and solutions.
• Advanced communication, presentation, and stakeholder management skills.
• Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, NumPy, and related tools.
• Advanced SQL skills with experience querying and manipulating large, complex datasets.
• Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis.
• Experience working with cloud-based data platforms and modern analytics ecosystems.
• Experience building, deploying, or leveraging AI and generative AI solutions within business environments.

Preferred Qualifications

• Experience working in healthcare, distribution, pharmaceutical, or supply chain environments.
• Experience with experimental design, causal inference, and business impact measurement.
• Familiarity with modern AI frameworks, large language models (LLMs), and agentic AI solutions.
• Experience building scalable data products and deploying machine learning models into production environments.
• Demonstrated success influencing business decisions through analytics and strategic insights.

Additional Skills

• Passion for using data to solve complex business problems.
• Strong business acumen and strategic thinking capabilities.
• Ability to balance technical depth with business priorities.
• Self-starter with a continuous improvement mindset.
• Strong collaboration and relationship-building skills across functions and leadership levels.

This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.

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

$136,300 - $227,100

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 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.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!