Job Description

As a Senior Data Scientist and Analytics Product Owner for Consumer Packaged Goods (CPG) clients, you will drive innovation in analytics, lead client projects, and provide expert leadership while collaborating with internal teams to enhance analytical solutions and optimize decision-making.

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 with practical data analysis experience
Experience with advanced analytics techniques including econometric modeling and ML techniques like XGBoost and decision trees
Experience developing analytical solutions for internal or external use
Advanced knowledge in statistical packages and proficiency in Python and R
Experience collaborating with a team of statistical analysts
Proficient problem-solving skills for challenging business issues
Ability to manage overlapping commitments and reprioritize as needed
Excellent communication and influencing skills
Ability to evaluate and communicate business issues/risks effectively

Responsibilities

Drive innovation leadership and define analytics use cases for CPG Analytics
Contribute to the roadmap for analytical code innovation and automation at scale
Oversee architectural decisions related to analytics
Evaluate modeling platforms and technologies, making recommendations
Engage directly with clients to provide expert leadership on projects
Shape analytics approaches and finalize client-facing recommendations
Develop client-specific recommendations and support proposal phases
Coach clients and consulting team members on analytical best practices
Work with Periscope Retail and CPG solutions teams to drive analytical innovation