Hiring: Senior Data Scientist Company: Nash Location: United States Job Posted Time: 2026-09-16 18:06:50 Target Skills & Keywords : A/B Testing, Airflow, Data Pipeline, Data Warehouse, MLOps, Machine Learning, Python, SQL, Shopify, Snowflake, dbt About the job Experience: •4+ years of experience as a Data Scientist, Machine Learning Engineer, or in a related quantitative role. Required Skills: •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. •Partner directly with Product, Engineering, Operations, customers, and company leadership. •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. •Interface directly 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. Qualifications: •Operational familiarity with dispatch systems, carrier networks, logistics marketplaces, or pricing models. •Exposure to dbt, Airflow, or related data orchestration tools. •Prior experience at an early-stage company or in a founding data role. •The decisions Nash makes affect what a delivery costs, which resource handles it, when it arrives, and whether the customer’s promise holds when conditions change. •As our first Data Scientist, you will define how Nash uses operational data to make those decisions sharper. The models you build will move quickly from analysis into live logistics workflows, giving you a direct view into their customer and business impact. •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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!