Senior Data Scientist I - Growth, Marketing & Sales

About the role

Your work 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.

Responsibilities

• 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.
• Contribute 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.
• Drive and oversee some of the key architectural decisions as they relate to Analytics, from modeling to forecasting to optimization.
• Evaluate the benefits and risks of alternative modeling platforms and technologies and make recommendations for future use.
• Provide expert leadership in client projects through engaging directly with clients and consulting teams to bring expertise to the specific engagement.
• Develop client specific recommendations on project approach and draw from insights across clients to support proposal phases.
• Coach clients, consulting team members and Periscope leads to drive knowledge and adoption of analytical best practices for the greatest impact.
• 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.
• Drive industry defining innovation and apply that innovation to client situations where you can further refine and scale your ideas.

Requirements

• 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.
• 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.
• 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.
• 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.

Qualifications

• Advanced degree in applied math, economics, statistics or other quantitative science
• 5+ years of experience in the field of consulting and/or development, retail pricing or promotional management with experience in practical data analysis
• Experience 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 optimization
• Experience developing analytical solutions for internal or external usage
• Advanced knowledge in statistical packages and comfort working with teams that make heavy use of Python and R
• Experience in collaborating with a team of statistical analysts
• Highly proficient at problem-solving challenging business issues with clients and McKinsey consultants
• Ability to juggle overlapping and frequent challenging commitment timelines and reprioritize as necessary to meet evolving business objectives
• Ability to critically evaluate and communicate business issues/risks with conviction to clients and partners
• Excellent communication and influencing skills that can be employed when partnering with clients and other partners to build relationships and achieve goals