Senior Data Scientist II - Growth, Marketing & Sales - Consumer Packaged Goods

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.

Responsibilities

• Drive internal data science and product development teams.
• Engage directly with clients and consulting teams to provide expert leadership.
• Define analytics use cases and align with partner stakeholders on prioritization.
• Contribute to the roadmap for analytical code innovation.
• Oversee key architectural decisions related to Analytics.
• Evaluate benefits and risks of alternative modeling platforms and technologies.
• Develop client-specific recommendations on project approach.
• Coach clients and consulting 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.
• Excellent communication and influencing skills.
• Ability to critically evaluate and communicate business issues/risks.
• Analytical and strategic focus with ability to draw conclusions from multiple data sources.
• Highly proficient at problem-solving challenging business issues.

Nice-to-haves

• Comfortable with ambiguity and self-motivated.
• Ability to juggle overlapping and frequent challenging commitment timelines.
• Ability to display empathy and leadership with clients and colleagues.