Senior Data Scientist (Deep Learning)

McKesson Technology Data & Digital Innovation org is seeking a Senior Data Scientist that is passionate about building 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.Collaborate with multi-disciplinary team members; Manage business stakeholder relationships to drive action and value from data science insights.Provide analytics leadership; conduct methodology and code reviews; utilize industry and academic resources to continuously learn and contribute to a growing knowledge base of data science best practices.Develop comprehensive understanding of McKesson’s data environment to design data strategy for use in machine learning models; analyze complex healthcare, business transaction, and supply chain datasets.Understand problems from the business point of view, build and execute solid analytics work plans; gather and organize large and complex data assets; perform relevant analyses (data exploration and statistical modeling); deploy models and automate work streams; foster teamwork in interactions; develop client relationships with business stakeholders; and communicate hypotheses, findings, and insights in a structured way.Communicate results and KPIs; develop and maintain strong relationships with key stakeholders, partners and internal clients.Minimum Requirements:Typically requires 7+ years relevant experience.Critical Skills:Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; 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: - Object Orientated Python (OOP).Ability to process and synthesize complex data.Additional Skills:Experience with cloud computing data platforms: e.g., Azure, GCP.Experience with distributed computing: e.g., Spark, Hadoop.Desire to work in a project-based environment to address business issues and implement business solutions.Experience with MLOps.Familiarity with a data visualization tool: e.g., Tableau, Power BI, R.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.Familiarity with report development in SSRS. Experience with other reporting tools (Business Objects, Tableau, MicroStrategy, etc.) is acceptable. Excel skills, high level. V-lookups, pivot tables, reporting.Ability to communicate effectively and professionally, delivering impactful solutions and presenting work in a concise and thoughtful manner.Education:Master’s preferred and +3 yrs work experience or PhD; Bachelor’s degree in computer science, applied mathematics, statistics, machine learning, or a related data centric-technical field OR equivalent experience.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 support physical, 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.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:$127,400 - $212,300McKesson 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.

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