Senior Data Scientist

📋 Description Identify high-impact opportunities across pricing, dispatch, ETA, routing. Own DS projects from discovery to deployment and measurement. Work with large datasets: delivery events, geospatial data, SLAs. Build models accounting for real-world logistics constraints. Develop production pipelines and model integrations (Python, SQL, Snowflake). Partner with engineers to serve models via APIs or real-time systems. 🎯 Requirements 4+ years as Data Scientist or ML Engineer. Experience in logistics, marketplaces, supply chain, or similar constraints. Track record delivering DS projects from problem to production and measurement. Strong Python and SQL; cloud data warehouses; Snowflake preferred. Experience building/maintaining production ML systems; MLOps not required. Clear communication with customers or senior stakeholders. 🎁 Benefits Early-stage, well-funded startup with impact. Significant ownership and autonomy; collaboration with founders. Quarterly team on-sites to connect in person. Equity opportunity. Flexible paid time off. Health, dental, and vision insurance.