# Senior Data Scientist

**Company:** [Nash](https://hotfix.jobs/companies/nash)
**Location:** San Francisco, CA
**Role:** Data Science
**Experience:** 4+ years
**Skills:** Python, SQL, Snowflake, Machine Learning, MLOps, geospatial data, dbt, Airflow
**Posted:** 2026-07-30

> Build and own data science initiatives from discovery to production for logistics workflows including pricing, dispatch, routing, ETA prediction, and marketplace balancing. Requires 4+ years experience, strong Python/SQL skills, and the ability to translate ambiguous business problems into measurable ML-driven outcomes in a fast-paced startup.

## Job Description

## What you’ll 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 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.

## What you’ll bring
- 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. Snowflake experience is preferred.
- Experience building and maintaining production machine learning systems. Deep MLOps specialization is not required.
- 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.

## Bonus
- 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.

## What you’ll love about Nash
- An early-stage, well-funded company with real revenue and global enterprise customers.
- Significant ownership and autonomy, with direct collaboration with the founders.
- Quarterly team onsites to connect and align in person.
- Competitive compensation and meaningful equity.
- Flexible paid time off.
- Health, dental, and vision insurance.

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