McKesson

Senior Data Scientist

McKesson

full-time

Posted on:

Origin:  • 🇺🇸 United States • Virginia

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Salary

💰 $126,800 - $211,300 per year

Job Level

Senior

Tech Stack

CloudPythonSQL

About the role

  • Architect, implement, drive adoption, and measure impact of innovative analytic solutions at McKesson, and improve existing solutions.
  • Develop and implement predictive models to analyze pricing data and forecast trends
  • Apply machine learning algorithms to optimize pricing structures
  • Design and oversee the implementation of model variance analysis and impact tracking frameworks
  • Guide the deployment of statistical models in production
  • Collaborate with cross-functional teams such as sales, marketing, and finance to develop pricing strategies that align with business objectives
  • Prepare detailed reports on pricing analysis and recommendations for senior management
  • Partner with the business to build out a recommendation engine leveraging predictive models

Requirements

  • 7+ years of relevant experience in data science, analytics, or programming
  • Bachelor\u2019s degree in Computer Science, Statistics, Applied Mathematics, Finance, Economics or related quantitative / STEM majors
  • Master2s and/or PhD a plus
  • Demonstrated ability to tackle problems across the full data stack, from data wrangling to stakeholder consumption at scale
  • Deep knowledge of machine learning / data science techniques
  • Knowledge of programming in Python and SQL
  • Ability to communicate technical concepts to non-technical audiences
  • Strong grasp of fundamental statistical concepts: forecasting techniques, reinforcement learning, unsupervised learning, regression, A/B testing, cluster analysis, outlier analysis, probability distributions, tests for independence, etc.
  • Experience solving problems at scale leveraging both cloud platforms and relational databases
  • Nice-to-Have Skills: Experience with AI techniques such as natural language processing (NLP), Gen AI, LLMs, computer vision, and reinforcement learning to enhance pricing models and optimize revenue
  • Using mathematical models to optimize pricing a plus
  • Experience in developing statistical simulation decision frameworks a plus