Lead Data Scientist

The Company - FleetOps

The supply chain is broken and we’re here to fix it. From empty shelves to excess, pollution, traffic congestion and higher costs, everyone is impacted by these issues.

FleetOps delivers supply chain solutions for the freight industry that are built on top of IoT sensor data from trucks. Our mission is to connect the right shipment with the right truck at the right time. At our core, we are removing friction for supply chain stakeholders through the use of data. Here are some of the questions we work on every day:

• What patterns can we observe and predict using historical geospatial data?
• How can we use design thinking to build simple, effective, and user-friendly products that can be used by drivers, dispatchers, shippers, and brokers?
• How do we identify supply and demand preferences that are constantly evolving?
• How do we ensure our applications are highly performant, secure, available, and scalable?
• How can we provide more value to our users by partnering and collaborating with other companies in the industry?
• What innovative solutions can we introduce in the industry that can fundamentally transform logistics?

We're backed by investors in Waterloo, Toronto, SF, Tokyo, and NYC and are looking to add to our team. As a fully remote organization, we contribute to a greener environment by removing wasteful miles driven by unloaded trucks and make significant systemic improvements to logistics in North America. If this goal excites you, and this challenge intrigues you, let's talk!

The Role

We’re looking for a highly motivated, analytical and creative Lead Data Scientist to join our team. In this role, you will be building the core ML systems that underpin our Optimization product that helps trucking companies efficiently schedule drivers to shipments, and find profitable strategies in the freight marketplace. You’ll be reporting directly to the Data Science Manager, and work with a highly collaborative team of data scientists and engineers working on one of the biggest problems in freight.

In this role, you will:

• Lead the technical efforts of our data science team 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

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
• Comfortable working throughout the entire Python codebase from data pipelines to machine learning systems to the deployment stack
• Passion for taking complex problems and developing data science solutions that leverage the latest ideas in optimization, recommendation systems, and/or search
• 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

Nice to 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 (ex. LangChain)
• 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

Salary:

$120,000-$170,000 based on a variety of factors including experience level

Offices and team size:

The team is currently 30 core people in a remote work environment.

Team and Values:

We are dedicated to maintaining a high quality of work which enables our employees to continually grow in the capacities that they desire. At the same time, we are automating the trucking industry and competing on a scientific and technical level with billion-dollar companies.

This is a balancing act in which we all participate, and this is why only the best and most altruistic people are with us. To connect and deliver innovative results, we must care for and understand others. FleetOps operates as a team that is collectively committed to these values and is willing to grow within the company.

Benefits:

• Healthcare coverage (US & Canada)
• Funding for courses and professional development

Hiring Process:

• Resume review
• Introductory interview (30 minutes)
• Technical interview (45-60 minutes)
• Final interview (45-60 minutes)

We appreciate the interest of all applicants but please note that we will only follow up with candidates who have been selected for an interview.

No recruiters or agencies.

What We Do:

FleetOps Website

Diversity & Inclusion:

At FleetOps, we value diversity and are proud to have a distributed, international team.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.