About This Opportunity

Responsibilities

• Develop and implement best practices for building machine learning models to analyze and understand demand patterns, ensuring alignment with business objectives.
• Apply statistical and machine learning techniques to solve complex problems in demand forecasting, product optimization, and business decision-making.
• Design and develop processes/tools for trade spend effectiveness, enabling smarter allocation of resources and maximizing return on investment by using data-driven insights into promotional strategies and pricing.
• Create engaging data visualizations to communicate insights clearly to both technical and non-technical stakeholders, enhancing decision-making and strategy development.
• Collaborate across teams including product managers, engineers, and business leaders, to turn data insights into practical solutions and recommendations that drive business impact.

Qualifications

• Bachelor’s degree in a technical or quantitative field (e.g., Mathematics, Statistics, Data Science, Engineering); Master’s degree is an asset.
• 3+ years of experience analyzing data with proven ability to apply analytical techniques to solve real-world problems. Prior experience in the CPG or retail industry is an asset.
• Expertise working with large, complex datasets; proficient in SQL and Python
• Expertise in statistical and machine learning techniques, such as multivariate regression, random forests, and XGBoost, with a strong understanding of demand forecasting, elasticity modeling, and optimization algorithms
• Strong proficiency in data visualization tools such as Power BI (preferred) or Tableau
• Expertise in applying scientific methods to data analysis, with strong attention to detail, critical thinking, and a focus on delivering high-quality, actionable insights
• Excellent communication skills and ability to explain learnings to both technical and non-technical teams
• Team player who works well with cross-functional teams to turn insights into actions