Data Scientist

This data scientist role involves analyzing complex datasets to derive insights that inform product decisions and business strategy. The position requires strong statistical analysis and machine learning skills to drive data-driven innovation.

This role leads data science initiatives and provides strategic consulting to retail clients, applying advanced analytics and machine learning to solve complex business problems. Requires strong expertise in Python, R, and SQL.

This Data Scientist role involves leading and conducting ambitious projects to transform clients through data, developing data science solutions, and building client relationships. The role includes upskilling the team, ensuring quality deliverables, and optimizing code. The ideal candidate has 1-3 years of experience in data science, analytics, or consulting, with proficiency in Python, SQL, and R.

This Director of Analytics role leads the analytics function, setting the strategy for data-driven decision-making across the retail AI organization. The role involves building and managing a team of analysts, defining KPIs, and delivering insights to executive stakeholders. Key challenges include scaling analytics infrastructure and driving adoption of data products across the business.

This role involves owning product direction for the full data path at Focal Systems, from retailer data imports (planograms, inventory, store metadata) through pipelines to metrics and reports. The Senior Product Manager will run discovery with retailers, set priorities for data products, and ensure they drive actionable outcomes, working closely with data engineering, data science, and customer success teams. This requires 5+ years of product management experience with technical depth in APIs, data pipelines, and hands-on SQL comfort.

This Data/Reporting Team Lead role manages a team responsible for building and maintaining reporting pipelines and dashboards for retail AI operations. The role involves designing data models, ensuring data quality, and delivering actionable insights to internal and external stakeholders. Key challenges include optimizing reporting performance and automating data workflows.