Senior Data Scientist — Logistics ML for Real-Time Decisions

Nash; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation and equity

Flexible paid time off

Health, dental, and vision insurance

Quarterly team on-sites

Job summary

Nash is hiring its first Data Scientist to blend product judgment with logistics expertise and pragmatic ML to build data products from discovery through production.

You will tackle pricing, dispatch, ETA prediction, routing, and forecasting, building models and pipelines in Python, SQL, and Snowflake, partnering with Product, Engineering, and customers to deliver measurable business impact.

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.

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.

Skills

Python

SQL

Snowflake

MLOps

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

dbt

Airflow

Job description

Nash is hiring its first Data Scientist to blend product judgment with logistics expertise and pragmatic ML to build data products from discovery through production.

You will tackle pricing, dispatch, ETA prediction, routing, and forecasting, building models and pipelines in Python, SQL, and Snowflake, partnering with Product, Engineering, and customers to deliver measurable business impact.