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NashNashSan Francisco, CA

Senior Data Scientist

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.

Salary not listed
Hybrid4+ YOEData Science

About the role

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.

Skills

PythonSQLSnowflakeMachine LearningMLOpsgeospatial datadbtAirflow

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