Sr. Data Scientist

McKesson; United States; Remote; USD 126,000 - 212,000; Full time

Job summary

A leading healthcare services company is seeking a Sr. Data Scientist in Richmond, VA to develop advanced analytical solutions. The candidate will work on implementing machine learning models, optimizing pricing strategies, and collaborating with multifunctional teams. Ideal applicants have a Bachelor's degree in a technical field and 7+ years of experience in analytics. This role offers a competitive salary range of $126,800 - $211,300.

Qualifications

• 7+ years of relevant experience in data science or programming.
• Deep knowledge of machine learning and data science techniques.
• Ability to communicate technical concepts to non-technical audiences.

Responsibilities

• Develop and implement advanced machine learning solutions.
• Collaborate with teams to develop pricing strategies.
• Prepare detailed reports on pricing analysis for senior management.

Skills

Data wrangling

Machine learning techniques

Python programming

SQL programming

Statistical concepts

Education

Bachelor’s degree in a technical field

Job description

Overview

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.

McKesson Medical-Surgical is seeking a Sr. Data Scientist in or near Richmond, VA. The Sr. Data Scientist will support the development of analytic solutions across McKesson. Our team applies data science methodologies to interdisciplinary business problems across Finance, Operations, Accounting, & Supply Chain. This position will work closely with multiple business units such as Treasury, FP&A, Operations, and Pricing. The position’s objectives are:

Responsibilities

• Develop and implement advanced machine learning solutions to support new business initiatives and facilitate next best actions.
• Architect and lead the implementation of driverless forecasting systems, leveraging best data science practices and technologies.
• 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.

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.

Minimum Requirements

• Degree or equivalent and typically requires 7+ years of relevant experience in data science / analytics / programming.

Education

• Bachelor’s degree in a technical field such as Computer Science, Statistics, Applied Mathematics, Finance, Economics or related quantitative / STEM majors. Master’s and/or PhD a plus.

Critical Skills

• 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.
• Experience in using mathematical models to optimize pricing.
• Experience in developing statistical simulation decision frameworks.

Compensation and Benefits

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 refer to the Benefits page.

Our Base Pay Range for this position

$126,800 - $211,300

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 the Equal Employment Opportunity page.

Join us at McKesson!