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

About the position

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 internal data science and product development teams.
• Define analytics use cases and align with partner stakeholder group on prioritization.
• Contribute to the roadmap for analytical code innovation.
• Bring in additional analytical features and use of alternative modeling or AI/ML approaches.
• Oversee key architectural decisions related to Analytics.
• Evaluate benefits and risks of alternative modeling platforms and technologies.
• Engage directly with clients and consulting teams to provide expertise.
• 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 comfort with 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.