Demo

Sr. Data Scientist - Pricing

MGM McKesson Medical-Surgical Inc.
Richmond, VA Full Time
POSTED ON 3/4/2025
AVAILABLE BEFORE 6/4/2025

Position Description

The purpose of this position is to architect, implement, drive adoption, and measure impact of innovative analytic solutions at McKesson, as well as make significant improvements to existing solutions.

Analytic Responsibilities

  • Create and implement predictive models to analyze pricing data and forecast trends.
  • Utilize machine learning algorithms to optimize pricing structures.
  • Lead in development of statistical simulation decision frameworks.
  • Build time series models leveraging techniques such as Sarima, Prophet, Holt-

Winters, Transformers.

  • Design and guide implementation of model variance analysis and impact tracking framework
  • Lead in deploying statistical models in production
  • Lead in development of statistical simulation decision frameworks
  • Other Responsibilities

  • Support stakeholders’ analytic needs, gather user requirements, help drive adoption
  • Cultivate business development opportunities
  • Assist in developing and maintaining long-term stakeholder relationships and
  • networks

    Minimum Requirements

    Experience : 5 years data science / analytics / programming experience based on

    combination of industry and academic experience

    Education : bachelor’s degree in a technical field such as : Computer Science, Statistics,

    Applied Mathematics, Finance, Economics or related quantitative / STEM majors. Masters

    and / or PhD preferred.

    Critical Skills

  • Demonstrated ability to tackle problems across the full data stack, from data
  • wrangling (leveraging SQL or other methodologies) to stakeholder consumption at

    scale

  • Deep knowledge of machine learning / data science best practices
  • Knowledge of statistical programming (Python, R)
  • Ability to communicate technical concepts to non-technical audiences
  • Demonstrated experience with objected oriented programming (Python, Java, C#, VBA, etc.)
  • Strong grasp of fundamental statistical concepts : linear regression, A / B testing, outlier analysis, probability distributions, tests for independence, etc.
  • Additional Knowledge & Skills

  • Analysis / Process Thinking
  • Team player
  • Strong verbal and written communication
  • Knowledge of relational databases (e.g. MS SQL Server, Snowflake, Oracle)
  • Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud,
  • Databricks)

  • Proficient with Excel spreadsheets, financial modelling, and reporting
  • Prior data mining experience using enterprise systems (SAP or JD Edwards
  • preferred)

  • Knowledge of data warehousing & ETL best practices is a plus
  • 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. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. 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

    Our Base Pay Range for this position

    124,200 - $207,000

    Salary : $124,200 - $207,000

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