Data Scientist (Logistics)

TL;DR

Data Scientist (Logistics/ML): Building data products for an autonomic logistics platform with an accent on pricing, dispatch, and ETA prediction. Focus on developing production ML systems, optimizing routing, and converting complex operational datasets into measurable business outcomes.

Location: Hybrid (San Francisco)

Company

hirify.global is an AI-native autonomic logistics platform that unifies decisioning and execution across fleets, carriers, and fulfillment networks for global enterprise retailers.

What you will do

• Identify and scope high-impact opportunities across pricing, cost prediction, dispatch, carrier selection, and routing.
• Own data science initiatives from 0→1 discovery through production deployment and performance iteration.
• Develop production data pipelines and model integrations using Python, SQL, and Snowflake.
• Build ML models that account for real-world logistics constraints and shifting provider availability.
• Partner with engineers to serve models through APIs, batch pipelines, or real-time decision systems.
• Establish evaluation frameworks, monitoring, and A/B testing practices to measure business impact.

Requirements

• 4+ years of experience as a Data Scientist or Machine Learning Engineer.
• Experience in logistics, marketplaces, supply chain, or operations research.
• Strong proficiency in Python and SQL, with experience in cloud data warehouses (Snowflake preferred).
• Proven track record of independently taking ML projects from problem definition through production.
• Strong product judgment and ability to connect modeling decisions to business outcomes.
• Must be based in or able to work hybrid in San Francisco.

Nice to have

• Experience with routing, ETA modeling, optimization algorithms, or geospatial data.
• Familiarity with dbt, Airflow, or related data orchestration tools.
• Prior experience at an early-stage company or in a founding data role.

Culture & Benefits

• High ownership and autonomy as the first Data Scientist, collaborating directly with founders.
• Quarterly team onsites to connect and align in person.
• Competitive compensation and meaningful equity in a well-funded startup.
• Flexible paid time off.
• Comprehensive health, dental, and vision insurance.