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.