Senior Deep Learning Scientist - Healthcare AI Impact

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 Tensor Flow 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, Micro Strategy, 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…