Data Scientist

McKesson-posted 3 months ago
$104,600 - $174,400/Yr
Full-time • Mid Level
Richmond, VA
5,001-10,000 employees
Merchant Wholesalers, Nondurable Goods
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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 Data Scientist to join our team in the Richmond, VA area. The Data Scientist will support the development of analytic solutions across Medical Surgical at 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: 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.

  • Perform advanced analytics functions to create insights that in turn provide meaningful results.
  • Design and implement algorithms for object detection, recognition, and tracking, natural language processing (NLP), text generation, and language translation.
  • Develop inventory optimization / multi-echelon simulation framework for supply chain, including building time series models leveraging techniques such as Sarima, Prophet, Holt-Winters, Transformers.
  • Extract, analyze, and interpret large volumes of structured and unstructured data from various sources.
  • Guide the deployment of statistical models in production.
  • Build prototypes for fast delivery to understand different business solutions.
  • Support FP&A's need for statistical modelling and forecasting.
  • Degree or equivalent and typically requires 4+ years of relevant experience.
  • Industry Experience: 3+ years 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 preferred.
  • 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.
  • Competitive compensation package including base pay and potential annual bonus or long-term incentive opportunities.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Data Scientist Resume Examples
•
Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service