Senior Data Scientist

Join Nash as our first Data Scientist, where you'll leverage your expertise in logistics and machine learning to build impactful data products. This high-ownership role involves working across various domains, including pricing, dispatch, and supply-demand forecasting. You'll collaborate with multiple teams, work with large operational datasets, and develop production data pipelines. The ideal candidate has 4+ years of experience in a related quantitative role, strong proficiency in Python and SQL, and a track record of independently taking data science projects from problem definition to production.

• Identifying and scoping high-impact opportunities across various aspects of logistics and marketplace operations.
• Owning data science initiatives from discovery through iteration, deployment, and performance improvement.
• Building models that account for real-world logistics constraints and developing production data pipelines.
• 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
• Comfort working with incomplete data, ambiguous questions, and changing operational conditions
• Experience building and maintaining production machine learning systems. Deep MLOps specialization is not required
• Clear written and verbal communication, including experience working with customers or senior stakeholders
• Strong proficiency in Python and SQL, with experience working in cloud data warehouses. Snowflake experience is preferred
• Strong product judgment and the ability to connect modeling decisions to customer and business outcomes
• A record of independently taking data science projects from problem definition through production and measurement
• High agency in a fast-moving environment. You notice valuable problems and act on them
• 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