Lead Data Scientist

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.

Position Description:

McKesson Technology Enterprise Analytics is seeking a Lead Data Scientist that is passionate about developing machine learning applications that ensure patients receive the medications they need, when they need them; improve quality of care for oncology patients; and exemplify operational excellence so that the business can focus on what matters most, creating value for our customers.

Key responsibilities:

• Develop, design, build, and oversee data science solutions to provide predictive insights that further McKesson’s vision to improve care in every setting.
• Drive adoption of best-in-class capabilities, including Deep Learning, Natural Language Processing, Large Language Models and Next Best Action Recommenders.
• Direct in-house data scientists and consulting teams; Provide analytics leadership; Provide machine learning and statistical expertise. Serve as an advisor for data scientists across the Enterprise.
• Collaborate with multi-disciplinary team members (data scientists, data engineers and business analysts); Manage business stakeholder relationships to drive action and value from data science insights.
• Collaborate with multi-disciplinary team members; Manage business stakeholder relationships to drive action and value from data science insights;
• Recruit top talent data scientists to join our team.
• Communicate strategy and results to technical and non-technical audiences; Develop and maintain strong relationships with key stakeholders, partners, and internal clients.
• Solve problems from the business point of view, define KPIs, build and execute solid analytics work plans, gather and organize large and complex data assets, perform relevant analyses (data exploration and statistical modeling), automate work streams, foster teamwork in interactions, develop client relationships with business stakeholders, and communicate hypotheses and findings in a structured way.

Minimum Requirements:

• Master’s degree +6 years of work experience or PhD +3 years, with relevant experience providing advanced analytics solutions The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric-technical field.

Critical Skills:

• Mentorship experience with machine learning engineers/data scientists in business or scientific research settings.
• Industry experience using TensorFlow, Pytorch and open source software libraries to develop Representation Machine Learning Systems; e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Image understanding; Document classification and keyword extraction.
• Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g. regression, classification, Time Series analysis: e.g. ARIMA, Traditional machine learning methods: e.g. Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
• Experience in SQL, relational databases: e.g. Snowflake, HANA, Microsoft SQL.
• Expert level skill in a programming language: Python + additional languages (e.g. Java, C/C++).
• Experience with Linux, Shell scripting: e.g. Bash.
• Familiarity with a data visualization tool: e.g. Tableau, Power BI, R.
• Ability to process and synthesize complex data.
• Ability to communicate effectively and professionally, delivering impactful solutions and presenting work in a concise and thoughtful manner.

Desired Skills:

• Experience with cloud computing data platforms: e.g. Azure, GCP.
• Experience with distributed computing: e.g. Hadoop, Spark.
• Experience developing open-source machine learning libraries.
• Desire to work in a project-based environment to address business .issues and implement business solutions..
• Driven by making impact with technical and data science expertise, acute strategic and analytical skills; Highly organized with the ability to multitask and prioritize workload.
• Self-motivated, demonstrated ability to manage engagements, serve as a champion of Data Science and able to act as a full member of project team.
• Experience in applied analytics for business problem solving, demand forecasting, analytics solution for pricing, loyalty program effectiveness, customer segmentation, customer LTV maximization, cost and profit analysis, CRM management etc.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to supportphysical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, pleaseclick here.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

Our Base Pay Range for this position

$147,500 - $245,800

McKesson is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.

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 Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.