Senior Data Scientist II - Growth, Marketing & Sales - Retail

About the position

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 uncover 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. To learn more about how Periscope's solutions and experts are helping businesses continually drive better performance, visit http://www.periscope-solutions.com. 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. As a Senior Data Scientist and Analytics Product Owner for Retail 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.

Responsibilities

• Drive analytical innovation with Periscope Retail and CPG solutions teams.
• Engage clients and McKinsey consulting teams with in-project expert leadership.
• Define analytics use cases and align with partner stakeholders on prioritization.
• Contribute to the roadmap for analytical code innovation.
• Oversee architectural decisions related to Analytics, including modeling, forecasting, and optimization.
• Evaluate benefits and risks of alternative modeling platforms and technologies.
• Engage directly with clients and consulting teams to provide expert leadership.
• Shape analytics approach and review data sciences insights.
• Develop client-specific recommendations on project approach.
• Coach clients and team members on analytical best practices.

Requirements

• Advanced degree in applied math, economics, statistics or other quantitative science.
• 5+ years of experience in consulting and/or development, retail pricing or promotional management.
• Experience with advanced analytics techniques for modeling, forecasting, and optimizing decisions.
• Experience developing analytical solutions for internal or external usage.
• Advanced knowledge in statistical packages and proficiency in Python and R.
• Experience collaborating with a team of statistical analysts.
• Comfortable with ambiguity and self-motivated with a strong sense of ownership.
• Excellent communication and influencing skills.
• Ability to critically evaluate and communicate business issues/risks.
• Analytical and strategic focus with the ability to draw conclusions from multiple data sources.
• Highly proficient at problem-solving challenging business issues.
• Ability to manage overlapping commitments and reprioritize as necessary.
• Ability to display empathy and leadership with clients and colleagues.