MCKESSON | Data Scientist | Richmond, VA | United States | BigDataKB.com | 17 Oct 2022

McKesson Corporation is a global leader in healthcare supply chain management solutions, retail pharmacy, community oncology and specialty care, and healthcare information solutions. McKesson partners with pharmaceutical manufacturers, providers, pharmacies, governments and other organizations in healthcare to help provide the right medicines, medical products and healthcare services to the right patients at the right time, safely and cost-effectively. United by our ICARE shared principles, our employees work every day to innovate and deliver opportunities that make our customers and partners more successful – all for the better health of patients. McKesson has been named a “Most Admired Company” in the healthcare wholesaler category by FORTUNE, a “Best Place to Work” by the Human Rights Campaign Foundation, and a top military-friendly company by Military Friendly. For more information, visit www.mckesson.com.

We take pride in our culture of connection and believe in a workplace where everyone can be their full, authentic self. We welcome and encourage veterans, individuals with disabilities and others with diverse perspectives to join our growing team. Your unique perspective and experience are valuable assets that can translate into a rewarding career path with us. Apply to join our team and help shape the future of healthcare!

Current Need

We are seeking a Sr. Associate Data Scientist to join our team in Richmond, VA

Position Description

The Marketing and Strategy and Business Development team is seeking a Data Scientist to support customer model creation. Our data scientist will help to provide customer insights to better understand how McKesson Medical Surgical can better intact with lifecycle of the customer through data driven insight, modelling and customer valuation tracking. 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 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

• Degree or equivalent and typically requires 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 Knowledge & 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.

Physical Requirements

• General Office Demands

Must be authorized to work in the US. Sponsorship is not available for this position.