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About the Role

We are hiring Nash’s first Data Scientist. You will combine product judgment, logistics or marketplace expertise, and pragmatic machine learning skills to build data products from discovery through production and measurement. You will work across pricing, dispatch, carrier selection, ETA prediction, routing, and supply-demand forecasting. This is a high-ownership role for someone who can find valuable problems, turn ambiguity into measurable outcomes, and build the models and systems needed to improve those outcomes in production. You will partner directly with Product, Engineering, Operations, customers, and company leadership.

Responsibilities

Identify and scope high-impact opportunities across pricing, cost prediction, dispatch, carrier selection, ETA prediction, routing, and marketplace balancing.
Own data science initiatives from 0→1 discovery through 1→10 iteration, deployment, and performance improvement.
Work with large, messy operational datasets, including delivery events, geospatial data, carrier performance, customer constraints, and SLA outcomes.
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 such as cost, reliability, on-time delivery, and operational intervention.
Work directly with enterprise customers to understand their operations and convert business requirements into technical approaches.
Communicate findings, tradeoffs, and recommendations clearly to technical and non-technical audiences.

Requirements

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, with 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, including experience working with customers or senior stakeholders.
High agency in a fast-moving environment. You notice valuable problems and act on them.

Skills

Python
SQL
Snowflake
MLOps
routing
ETA modeling
optimization algorithms
geospatial data
dispatch systems
carrier networks
logistics marketplaces
pricing models
supply-demand forecasting
marketplace balancing
dbt
Airflow
data orchestration tools
APIs
real-time decision systems

Location

San Francisco

Work Type

Full-time

Experience Level

Senior

Benefits

Competitive compensation
Meaningful equity
Flexible paid time off
Health, dental, and vision insurance

About the Company

Nash is the autonomic logistics platform. We unify decisioning and execution across fleets, carriers, providers, and fulfillment networks, continuously adapting as conditions change and pursuing the best possible outcome for each business.
The world’s largest retailers, grocers, and pharmacies, including Walmart, 7-Eleven, Woolworths, and Coles, run critical logistics workflows on Nash. Your work will influence real-world decisions across millions of deliveries.
Nash was founded in 2021 by Mahmoud Ghulman and Aziz Alghunaim. We are backed by Y Combinator, a16z, OpenAI, and other leading investors, and headquartered in San Francisco.
Nash is the platform that powers modern logistics.
Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line.
Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion.
We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it.
Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco.

Equal Opportunity

At Nash, we believe diverse teams are the strongest teams. We invite applicants of all genders, races, ethnicities, nationalities, ages, religions, sexual orientations, disability statuses, educational experiences, family situations, and socioeconomic backgrounds.