Job Details

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.

Job Title: Principal Data Scientist, Enterprise Advanced Data Science - Finance

Job Summary:

Finance is of paramount importance to McKesson. The Principal Data Scientist will be part of a talented team of data scientists and collaborate with financial analysts and cross-functional data, analytics, and enablement teams to improve decision-making within our corporate and business unit-focused finance groups and the business. You will leverage data products such as Finance Data Product (FDP) to deliver prescriptive and predictive analytical insights. If you’re innately curious about data, AI and finance and seek an opportunity to create an impact at large-scale organization, this might be the perfect role for you.

Key responsibilities:

• Lead the development of robust, scalable data science solution(s) leveraging in-development and future data products such as FDP.
• Architect and implement AI/ML models and systems for Finance applications to enhance the effectiveness and efficiency of financial decisions, e.g., revenue forecasting, and customer segmentation.
• Collaborate with cross-functional teams to understand business requirements. Elevate outcomes by bringing AI expertise and business/functional knowledge to the table.
• Build technically sound, business-friendly presentations ranging across end-to-end project activities (e.g., proposal, proof-of-concept analysis, modeling results, progress tracking, read outs) with minimal to no need for supervision.
• Lead project teams of data scientists as needed, providing technical guidance and developing team members’ non-technical skills.
• Manage resources from third-party vendors independently as needed.
• Stay updated on advancements in AI/ML space broadly.

Typical minimum requirements:

• Requires a min of 10+ years of hands-on work experience as a Principal Data Scientist developing and applying advanced analytics solutions in a corporate environment.

Critical skills:

• Hands-on experience and foundational knowledge to build robust AI/ML models and implement it at scale.
• Knowledge of pricing, preferably for McKesson or healthcare more broadly.
• Proficient in many of the following techniques - time series, clustering, NLP, neural networks, KNN, decision trees, regression, etc.
• Demonstrated professional experience working on programming languages, tools, and platforms like Python, Databricks, Snowflake, etc.
• Strong grasp of fundamental statistical concepts: linear regression, A/B testing, outlier analysis, probability distributions, tests for independence, etc.
• Ability to clearly communicate technical concepts and results to non-technical audiences.
• Familiarity with data privacy standards, methodologies, and best practices.

Additional skills:

• Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
• Teams up and collaborates for speed, agility, and delivery and operational excellence.
• Experience working with large healthcare datasets is a plus.
• Expertise in data visualization tools such as Power BI, Tableau and Looker is a plus.
• Prior data mining experience using enterprise systems (SAP or JD Edwards preferred).

Education:

• MS or PhD in data science or related field

Physical Requirements: General Office Demands

Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.

Relocation is NOT budgeted for this position.

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. 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

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!