From the listing
About the role
Nash is the autonomic logistics platform that unifies decisioning and execution across fleets, carriers, providers, and fulfillment networks. The world’s largest retailers, including Walmart and 7-Eleven, run critical logistics workflows on Nash, influencing real-world decisions across millions of deliveries.
Founded in 2021 and backed by Y Combinator, a16z, and OpenAI, Nash is building AI-native intelligence to manage every type of delivery resource, from couriers to autonomous vehicles. The company is headquartered in San Francisco.
As Nash’s first Data Scientist, 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 in a high-ownership role.
What you'll do
- Identify and scope high-impact opportunities across pricing, cost prediction, dispatch, and routing.
- Own data science initiatives from 0→1 discovery through 1→10 iteration and deployment.
- Work with messy operational datasets including delivery events, geospatial data, and SLA outcomes.
- Build models that account for real-world logistics constraints and provider availability.
- 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 systems.
- Establish evaluation frameworks, monitoring, experimentation, and A/B testing practices.
- Measure model performance against business outcomes like cost, reliability, and on-time delivery.
- Communicate findings and tradeoffs to technical and non-technical audiences.
What they're looking for
- 4+ years of experience as a Data Scientist, Machine Learning Engineer, or related quantitative role.
- Experience in logistics, marketplaces, supply chain, or domains with complex real-world constraints.
- Record of independently taking projects from problem definition through production.
- Strong proficiency in Python and SQL.
- Experience building and maintaining production machine learning systems.
- Strong product judgment and ability to connect modeling to business outcomes.
- High agency and comfort working with incomplete data and changing conditions.
Nice to have
- Experience with routing, ETA modeling, optimization algorithms, or geospatial data.
- Familiarity with dispatch systems, carrier networks, or logistics marketplaces.
- 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.
- Snowflake experience.
From the company page
Nash benefits
◉ Remote policy · in their words
“We hire great people and trust them to work from anywhere.”
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