Lead Data Scientist – Commercial Intelligence & ML Operations

Job description

Conceptual Proactive Problem-Solver Strategic Technologically Savvy Visual Thinker <meta data-json="{"ModuleType":13,"ApplyButtonText":"Apply","JobDetailsAlign":0,"JobDetailsDate":0,"JobDetailsJobTypeId":1,"JobDetailsSelectedDate":"2026-10-22T18:33:30.96Z","JobDetailsJobDateFormat":0,"JobDetailsJobLabelId":"Job ID","JobDetailsJobDatePosting":"Date posted","JobDetailsDescriptionFormat":0,"ShowApplyLater":false,"ShowApplyMobile":true,"ShowApplyLaterMobile":false,"ShowApplyLaterWeb":false,"ApplyLaterText":"Apply Later","ApplyLaterAlign":0,"ApplyLaterSubject":"[[JOB_TITLE]] at [[COMPANY_NAME]]","PublishedCandidateCardPageId":null,"ReferrerPageId":null,"ReferrerPageButtonText":"","ShowSavedJobsIcon":false,"IconLabel":"Save for Later","OverrideCandidateCard":false,"ModulePageType":2,"ModulePageName":"AJD - Design 1","DisplayJobDateFormat":"MM/dd/yyyy","JobDetailsSelectedId":"JR0155805","ApplyUrl":"https://mckesson.wd3.myworkdayjobs.com/External_Careers/job/USA-VA-Richmond/Lead-Data-Scientist---Commercial-Intelligence---ML-Operations_JR0155805/apply","JobDescription":"\u003Cp style=\u0022text-align:left\u0022\u003EMcKesson 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 \u2013 we care.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:left\u0022\u003EWhat 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\u2019s health today, we want to hear from you.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp\u003ENewCo Build Job Summary\u003Cbr /\u003E\u003Cbr /\u003EWe are seeking a highly skilled and experienced Lead Data Scientist specializing in Pricing Intelligence and Machine Learning Operations to join McKesson Corporation. This role will lead the development and implementation of advanced analytical models and ML solutions to optimize pricing strategies and ensure robust, scalable, and efficient deployment of these models within our operational frameworks.\u003Cbr /\u003E\u003Cbr /\u003EKey Responsibilities\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDevelop, maintain, and improve predictive and machine-learning models\u003C/li\u003E\u003Cli\u003ELead advanced analytics initiatives across customer, product, pricing, and commercial domains\u003C/li\u003E\u003Cli\u003EMonitor production models for accuracy, reliability, and data quality\u003C/li\u003E\u003Cli\u003ETroubleshoot model and data issues across analytical workflows\u003C/li\u003E\u003Cli\u003EEstablish model validation, testing, monitoring, and governance standards\u003C/li\u003E\u003Cli\u003ETranslate analytical findings into clear business recommendations\u003C/li\u003E\u003Cli\u003EPartner with engineering teams to operationalize models and analytical solutions\u003C/li\u003E\u003Cli\u003EProvide technical leadership and mentorship to other data scientists\u003C/li\u003E\u003Cli\u003ESupport development of optimization, forecasting, recommendation, and AI-driven decisioning capabilities\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ERequired Skills\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003E\u003Cb\u003E7\u002B years\u003C/b\u003E of experience in Data Science, Machine Learning, Advanced Analytics, or a related quantitative field\u003C/li\u003E\u003Cli\u003EStrong \u003Cb\u003EPython and SQL\u003C/b\u003E skills\u003C/li\u003E\u003Cli\u003EStrong foundation in statistical modeling, machine learning, regression, clustering, and predictive analytics\u003C/li\u003E\u003Cli\u003EExperience deploying and supporting models in production environments\u003C/li\u003E\u003Cli\u003EExperience working with large-scale datasets and cloud-based analytical platforms\u003C/li\u003E\u003Cli\u003EStrong understanding of data pipelines, model inputs/outputs, and data-quality validation\u003C/li\u003E\u003Cli\u003EExperience with model monitoring, lifecycle management, and explainability\u003C/li\u003E\u003Cli\u003EStrong problem-solving and communication skills\u003C/li\u003E\u003Cli\u003EDemonstrated ability to lead technical work and collaborate across business and technology teams\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EEducation\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003E\u003Cb\u003EMaster\u2019s degree preferred\u003C/b\u003E in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, Engineering, or another quantitative discipline\u003C/li\u003E\u003Cli\u003E\u003Cb\u003EBachelor\u2019s degree required\u003C/b\u003E in a quantitative or technical field with substantial relevant experience\u003C/li\u003E\u003Cli\u003EPhD in a quantitative discipline is a plus, but not required\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EPreferred Qualifications\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EExperience in pricing, revenue management, forecasting, optimization, or commercial analytics\u003C/li\u003E\u003Cli\u003EExperience with recommendation systems, segmentation, or predictive modeling\u003C/li\u003E\u003Cli\u003EExperience with MLOps and production model deployment\u003C/li\u003E\u003Cli\u003EFamiliarity with Generative AI and modern AI-assisted analytical solutions\u003C/li\u003E\u003Cli\u003EExperience supporting business-critical analytical applications\u003C/li\u003E\u003Cli\u003EPrior experience mentoring or leading other data scientists\u003C/li\u003E\u003Cli\u003EExperience in the healthcare or pharmaceutical industry is a plus.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cb\u003EAbout MMS\u003C/b\u003E\u003C/p\u003E\u003Cbr /\u003E\u003Cp\u003EMcKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets \u2013 often referred to as Alternate Care or Non-Acute Care \u2013 include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers.\u003C/p\u003E\u003Cbr /\u003E\u003Cp\u003EAlternate Care markets are growing rapidly, and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products \u2013 from bandages to specialty pharmaceuticals and COVID-19 tests.\u003C/p\u003E\u003Cp\u003E\u003C/p\u003E\u003Cp\u003EWe 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. \u003Cspan\u003EThe pay range shown below is aligned with McKesson\u0027s pay philosophy, and pay will always be compliant with any applicable regulations.\u003C/span\u003E 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\u00A0\u003Ca href=\u0022https://careers.mckesson.com/en/benefits\u0022 target=\u0022_blank\u0022\u003