Data Scientist

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Focal Systems

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛒 Retail

🏢 Enterprise

Artificial Intelligence • Retail • Enterprise

Focal Systems is an innovative technology company focused on transforming retail operations through the deployment of advanced artificial intelligence and computer vision technologies. Their flagship product, FocalOS, automates decision-making processes within retail environments, optimizing order writing, inventory updates, and labor schedules to enhance efficiency and productivity. By utilizing ruggedized cameras and AI, Focal provides real-time shelf insights and automates tasks, significantly reducing food waste and operational costs for retailers. The company's mission is to lower living costs worldwide by enabling retailers to improve efficiency, reduce waste, and ultimately, lower prices for consumers.

📋 Description

• Own analytical problems end to end from problem framing and metric definition through data acquisition, modeling, validation, and stakeholder rollout • Build predictive and inferential models such as forecasts, propensity and uplift models, and survival or duration analyses, where they meaningfully improve a product or operational decision • Develop statistical methods and reusable analyses for measuring performance, including detection accuracy, intervention impact, and downstream operational outcomes • Partner with Product, Engineering, and Operations to define key metrics, implement new features, and translate business questions into well-scoped analytical work • Audit system outputs and provide structured feedback that improves product accuracy and reliability • Communicate findings through dashboards, written analyses, and stakeholder presentations that lead to concrete decisions • Help define best practices around data quality, experimentation, modeling, and reproducibility, and contribute to the team’s data contracts and SOPs

🎯 Requirements

• 5+ years of experience as a Data Scientist, Quantitative Analyst, or similar role, with a track record of shipping analyses and models that changed product or business decisions • Strong proficiency in SQL, including complex CTEs, window functions, and query optimization • Strong proficiency in Python for data work, including pandas, NumPy, and experience with statsmodels or other relevant tools • Solid grounding in applied statistics: hypothesis testing, regression, experimental design, and uncertainty quantification • Experience designing and analyzing A/B tests or other controlled experiments in a product setting • Experience building at least one class of predictive model end to end, for example forecasting, classification, or propensity modeling • Experience with data visualization and BI tools, and the ability to turn an analysis into a clear narrative • Excellent written and verbal communication, with the ability to influence cross-functional partners without authority • Ability to work independently, manage multiple priorities, and drive ambiguous projects to completion.

🏖️ Benefits

• Competitive Salary & Attractive Stock • Generous Paid Time Off • Pension • Sick Leave • Parental Leave • Learning and Development Budget