Senior Data Scientist

The role

You will build data products from discovery through production and measurement. You will work across pricing, dispatch, carrier selection, ETA prediction, routing, and supply-demand forecasting.

What you will do

• Identify and scope high-impact opportunities across pricing, cost prediction, dispatch, carrier selection, ETA prediction, routing, and marketplace balancing.
• Own data science initiatives from discovery through iteration, deployment, and performance improvement.
• Work with large, messy operational datasets.
• Build models that account for real-world logistics constraints, shifting demand, provider availability, and service requirements.
• Develop production data pipelines and model integrations using Python, SQL, and Snowflake.
• Partner with engineers to serve models through APIs, batch pipelines, or real-time decision systems.
• Establish evaluation frameworks, monitoring, experimentation, and A/B testing practices.
• Measure model performance against business outcomes.
• Work directly with enterprise customers to convert business requirements into technical approaches.
• Communicate findings, tradeoffs, and recommendations to technical and non-technical audiences.

Required qualifications

• 4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a related quantitative role.
• Experience in logistics, marketplaces, supply chain, operations research, or another domain with complex real-world constraints.
• A record of independently taking data science projects from problem definition through production and measurement.
• Strong proficiency in Python and SQL.
• Experience working in cloud data warehouses.
• Experience building and maintaining production machine learning systems.
• Strong product judgment and the ability to connect modeling decisions to customer and business outcomes.
• Comfort working with incomplete data, ambiguous questions, and changing operational conditions.
• Clear written and verbal communication.
• High agency in a fast-moving environment.

Nice to have

• Snowflake experience
• Experience with routing, ETA modeling, optimization algorithms, or geospatial data.
• Familiarity with dispatch systems, carrier networks, logistics marketplaces, or pricing models.
• Experience with supply-demand forecasting or marketplace balancing.
• Exposure to dbt, Airflow, or related data orchestration tools.
• Experience deploying models through APIs or real-time decision systems.
• Prior experience at an early-stage company or in a founding data role.

Benefits

• Competitive compensation
• Meaningful equity
• Quarterly team onsites
• Flexible paid time off
• Health, dental, and vision insurance for US employees

About the company

Nash is the autonomic logistics platform that unifies decisioning and execution across fleets, carriers, providers, and fulfillment networks. Headquartered in San Francisco, it is backed by Y Combinator, a16z, and OpenAI.