Senior Data Scientist I - Growth, Marketing & Sales

QUALIFICATIONSAdvanced degree in applied math, economics, statistics or other quantitative science5+ years of experience in the field of consulting and/or development, retail pricing or promotional management with experience in practical data analysisExperience with advanced analytics techniques to model, forecast, and optimize decisions, particularly in pricing and promotions; includes econometric modeling, ML modeling techniques XGBoost and decision trees, and use of a Solver for optimizationExperience developing analytical solutions for internal or external usageAdvanced knowledge in statistical packages and comfort working with teams that make heavy use of Python and RExperience in collaborating with a team of statistical analystsHighly proficient at problem-solving challenging business issues with clients and McKinsey consultantsAbility to juggle overlapping and frequent challenging commitment timelines and reprioritize as necessary to meet evolving business objectivesExcellent communication and influencing skills that can be employed when partnering with clients and other partners to build relationships and achieve goalsAbility to critically evaluate and communicate business issues/risks with conviction to clients and partnersWHO YOU'LL WORK WITHDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.WHAT YOU'LL DOAs a Senior Data Scientist and Analytics Product Owner for Consumer-Packaged Goods (CPG) clients, your role will include a broad set of responsibilities to drive internal data science and product development teams, along with client facing roles across the following topics.You will focus on Innovation Leadership and help drive an innovation agenda for CPG Analytics across sciences, talent and tools by defining analytics use cases and aligning with a partner stakeholder group on the prioritization. This includes contributing to the roadmap for analytical code innovation, including bringing in additional analytical features, use of alternative modeling or AI/ML approaches and automation of Analytics at scale. Driving and overseeing some of the key architectural decisions as they relate to Analytics, from modeling to forecasting to optimization. Evaluating the benefits and risks of alternative modeling platforms and technologies and making recommendations for future use.You will provide expert leadership in client projects through engaging directly with clients and consulting teams to bring expertise to the specific engagement. Examples include working with consulting teams to shape analytics approach, review data sciences insights, and help finalize client facing recommendations to optimize impact of insight. Developing client specific recommendations on project approach and drawing from insights across clients to support proposal phases. Coaching clients, consulting team members and Periscope leads to drive knowledge and adoption of analytical best practices for the greatest impact.You will work with our Periscope Retail and CPG solutions teams to drive analytical innovation while also engaging clients & McKinsey consulting teams with in-project expert leadership. You will have the opportunity to drive industry defining innovation and apply that innovation to client situations where you can further refine and scale your ideas.Founded in 2007, Periscope by McKinsey enables better commercial decisions by developing in-house analytical approaches and software to uncovering actionable insights for our clients. The Periscope platform combines world leading intellectual property, prescriptive analytics, and cloud-based tools focused on B2C, CPG, and B2B commercial excellence, including pricing, promotions and assortment. Periscope experts work closely with clients to embed these solutions into operational IT environments and work closely with McKinsey’s Marketing & Sales consultants to transform client business processes to deliver revenue growth both now and in the future. You can learn more about how Periscope’s solutions and experts are helping businesses continually drive better performance by visiting .McKinsey’s Periscope is helping to shift our Marketing & Sales Consulting model toward asset-based consulting and is a foundation for, and expands our investment in, our entrepreneurial culture. Through innovative software-as-a-service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means for clients to work with McKinsey for growth.