Original job description
Class8 is building a suite of products to help trucking companies better run their business, and help them connect with freight opportunities through brokerages and other data partners. Our team works with real-time, big data across thousands of trucks, and creates apps across multiple surface areas including mobile, desktop, and embedded vehicles.
We’re looking for a highly ambitious, creative Lead Data Scientist to join our team. In this role, you will be building the core ML, AI, and LLM systems that underpin our Carrier and Capacity Science products. Our team does everything from trying to predict vehicle behaviour from real-time, unlabelled sensor data to building agentic voice solutions to solving mixed-integer linear problems.
You’ll be reporting directly to the Director of Data Science & Applied AI, and work with a highly collaborative team of data scientists and engineers working on some of the biggest problems in freight. This role is perfect for you if you love to be hands on building cutting edge solutions, but have an interest in growing into a leadership role within this team.
In This Role, You Will:
Lead technical projects and take ownership over certain ML systems on our core product
Work with product and engineering to take data science ideas from conception to experimentation to production in line with business objectives
Develop, validate, and deploy machine learning, optimization, and other algorithms that enable critical product functionality
Translate product requirements into data science projects and initiatives
Document, communicate, and educate stakeholders on product capabilities powered by statistical analyses, machine learning, and operations research
Maintain subject matter expertise by keeping up with the latest literature on machine learning and operations research
Build standards and processes to make this the best data science team working in freight
You’re Right For The Role If You Have These Skills:
Required:
5+ years experience applying machine learning in a non-academic environment–ideally in a high-growth software development environment
Degree in a technical discipline, such as Machine Learning, Data Science, Operations Research, Computer Science, Electrical Engineering, Physics, Statistics, Computational Biology, or other technical field
Ability to deeply understand the product problems we are trying to solve and building solutions that leverage the latest ideas in optimization, recommenders, and/or search
Comfortable working throughout the entire Python codebase from data pipelines to machine learning systems to the deployment stack
Facility for distilling technical results and processes for lay users and internal stakeholders
Expert understanding and/or experience with the ML stack in AWS and other cloud services
Comfortable using AI tools in your workflow to increase productivity and research output, but with a keen eye on when, where, and how to use it responsibly
Bonus If You Have:
Experience with supply chain, logistics, and/or freight
Experience with OR and optimization frameworks (ex. PuLp, Google OR)
Experience working with real-time geospatial and/or time series data
Experience deploying ML Ops pipelines
Experience with LLM systems
Graduate degree in a technical discipline, such as Machine Learning, Data Science, Operations Research, Computer Science, Electrical Engineering, Physics, Statistics, Computational Biology, or other technical field
Our Tech Stack:
React Native
ReactJS, NextJS, TypeScript, Jest
Python, FastAPI, MongoDB, Postgres
Bitbucket, Docker
AWS (SQS/SNS/API Gateway/Lambda/ECS/ECR, Data Lake, Redshift, Glue, EventBridge, S3, Route53, Kafka, Airflow)
Netlify
Hiring Process:
Résumé review
Coding interview (45 mins)
Systems design interview (25 mins)
Senior management interview (15 mins)
What We Do:
https://www.class8.com/our-solution
Why Join Us:
We’re redefining how freight moves.
You’ll get in early on a high-upside product in a massive, untouched market.
You’ll work with experienced builders and be trusted to execute.
Big career upside: build, prove yourself, and grow with the company.
