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Strategic Data Scientist

McKesson Corporation

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At a glance

Compensation
No compensation found
Location
Columbus, OH
Work Authorization
Not specified

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Job overview

The Strategic Data Scientist at CoverMyMeds supports customer teams and external clients with analytics and insights from live data. The role focuses on high-value analyses that drive commercial outcomes, inform strategic and tactical decisions, and demonstrate product value. It collaborates across business units and channels, monitors portfolio health, and presents actionable recommendations. Candidates in the Columbus, Ohio metropolitan area receive priority; McKesson cannot provide visa sponsorship.

Skills & qualifications

RequiredNice to have

Skills

Data Science MethodologiesDecision TreesMultivariate AnalysisSegmentation ModelingFactor AnalysisRegression AnalysisForecastingMachine LearningPythonRMATLABSASData MiningData AnalysisInsight GenerationQuery WritingReport WritingSQLData VisualizationExcelTableauCommunicationExpectation ManagementProblem SolvingCollaborationRelationship BuildingLeadership Without AuthorityHealthcare Industry ExpertisePharmaceutical Industry ExpertiseInsurance Industry Expertise

Qualifications

Bachelor's in Analytics, Business, Public Health or Related Field or Equivalent Experience5+ Years Analytics ExperienceHealthcare Experience

Full job description

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. TheStrategic DataScientist atCoverMyMeds makes ameaningfulcontribution to the success of our company. This rolecontributes tovalue proposition refinement andsupportskey customer teams by providing world-class analytics and insight into our vast store of live data.The SDS will focus on maximizing time spent on high-value, client-impacting insights by prioritizing work that directly drives commercial outcomes. This position collaborates extensively with business units and channels across the company and supports the business goals of external clients. Our ideal candidate is curious, thrives in a changing environment, and turns data into clear, actionable insights for customers and colleagues: - Build trusted relationships with CSTs and external clients by using data stories to demonstrate the value of CMM products. - Deliver proactive analyses of portfolio performance, customer needs, and business risks or opportunities, including market and industry events. - Apply statistical methods and predictive modeling to analyze product data, identify drivers, and forecast outcomes. - Monitor portfolio health, provide stakeholder updates and business reviews, and escalate issues as needed. - Present clear, actionable insights through concise client-facing visuals and recommendations. - Identify opportunities to improve product value and analytical efficiency. - Support complex client requests and issue escalations in partnership with account teams. - Contribute insights that inform strategic and tactical decisions across competitive positioning, product design, analytics, and operations. - Develop expertise in CoverMyMeds, the pharmaceutical industry, and the business context of supported accounts. Priority will be given to candidates who live in the Columbus, OH metropolitan area We are unable to provide sponsorship for this role presently or in the future. Critical Skills and Minimum Qualification - BA/BS degreeor equivalent experienceindata analytics,business,public health,or relatedfield; healthcare experience stronglypreferred. - 5-7 years of experience in an analyticsrole in healthcare/Pharma industrypreferred. - Understanding of data science methodologies includingdecision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc. - Experienceor understanding ofstatisticalsoftware (PYTHON, R, MATLAB, SAS, etc.) - Curious problem solver by nature; able to quickly make sense of complex data issues. - Driven, self-motivated, team player adept at working in environment with competing priorities. - Experience with data mining, analysis, and providing insights. - Adept at creating queries, writing reports, and presenting findings. - Intermediate toAdvanced proficiency in SQL. - Intermediate toAdvanced proficiency in data visualization tools e.g., Excel, Tableau, etc. - Able to communicate and manage expectations. PreferredSkills Industry Expertise- Specifically inInsurance, Pharmaceutical, or Healthcare. Collaboration- Key success factors in this role include leading without direct authority, building relation

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