About the Role

Join a leading commerce enablement platform where you will drive data-informed decision-making across the organization. In this role, you will partner closely with product, engineering, and business stakeholders to build predictive models and translate complex datasets into actionable insights. You will play a pivotal role in shaping data science best practices while solving real-world challenges in supply chain optimization and customer experience.

Most Important

• 5+ years of experience in data science or analytics, with a Bachelor’s or Master’s degree in a quantitative field.
• Strong proficiency in Python (pandas, NumPy, scikit-learn) and SQL for complex data manipulation.
• Proven track record of designing, building, and deploying machine learning models in production environments.
• Solid foundation in statistics, probability, and experimental design.
• Experience transforming large, complex datasets into clear, actionable business insights for non-technical stakeholders.

Nice to Have

• Experience with big data technologies like Spark or Hadoop, and cloud platforms (GCP or AWS).
• Familiarity with MLOps tools and workflows for maintaining model reliability.
• Background in logistics, supply chain, or commerce-related domains.