Job Description
McKesson Corporation is a Fortune 8 company and is one of the largest providers of healthcare supply chain management solutions, retail pharmacy, medical & pharmaceutical supplies, healthcare technology, community oncology and specialty care in the United States with revenues of $231 billion in 2020. The company was founded in 1833 by John McKesson and Charles Olcott in New York with a focus on importing and wholesaling pharmaceutical products. United by our ICARE shared principles, McKesson's 80,000 employees work together every day to make better care possible around the globe – one product, one partner, one patient at a time.
Current Need
We are seeking a Data Scientist to join our team in Richmond, VA.
Position Description
The Merchandising and Supplier Analytics team is seeking a Data Scientist to support machine learning initiatives. We manage several programs that drive product suggestions and purchasing opportunities to our sales force and customers and we are looking for a candidate that is passionate about building machine learning solutions to improve health care and drive business value.
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 — one product, one partner, one patient at a time.
- Collaborate with multi-disciplinary team members; Manage business stakeholder relationships to drive action and value from data science insights.
- Provide guidance to a team, largely comprised of analysts, on implementing machine learning capabilities into their deliverables.
- 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 health, 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), automate work streams, foster teamwork in interactions, develop client relationships with business stakeholders, and communicate hypotheses and findings in a structured way.
- Communicate results; develop and maintain strong relationships with key stakeholders, partners and internal clients.
Minimum Requirements
4+ years of relevant experience
Critical Skills
- Experience in core analytics methods (one or more of the following): Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g. logistic regression, linear regression, Time Series analysis: e.g. Machine learning methods: e.g. Random Forest, ensemble model techniques, SVM, Optimization: e.g. linear programming
- Experience in SQL, relational databases: e.g. Snowflake, Oracle, Microsoft SQL
- Expert level skill in a programming language or a scripting language: e.g. Perl, Python
- Familiarity with a data visualization tool: e.g. Tableau, D3.js, Power BI, R.
- Ability to process and synthesize complex data.
Additional Skills
- Ability to communicate effectively and professionally to a non-technical audience, presenting work in a concise and thoughtful manner
- Experience with cloud computing data platforms: e.g. Azure, GCP
- Desire to work in a project-based environment to address business issues and implement business solutions.
- 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. Examples include demand forecasting, analytics solution for pricing, loyalty program effectiveness, customer segmentation, customer LTV maximization, cost and profit analysis, CRM management etc.
Education
Master’s Degree required in computer science, applied mathematics, statistics, machine learning, or a related data centric-technical field. PhD preferred.
Physical Requirements
General Office Demands
Company Info.
McKesson Corporation
McKesson Corporation is an American company distributing pharmaceuticals and providing health information technology, medical supplies, and care management tools. The company delivers a third of all pharmaceuticals used in North America and employs over 78,000 employees
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Industry
Information Technology
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No. of Employees
80,000
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Location
Irving, Texas, USA
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Website
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