Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role: 

We’re looking for a Data Scientist to help build the telematics AI models at the heart of Motive’s safety product suite such as our collision detection model and safety score. As a member of our team you’ll help frame the problems, build models and products that win customers, and leverage machine learning at the petabyte scale to solidify Motive’s  technology lead in the connected fleet management space. You’ll embed yourself deep in the world of trucking and help understand the forces that govern it.  Working with geospatial, transportation, and economic data, you’ll help optimize the way freight moves throughout North America.

What You’ll Do: 

• Build, improve, and maintain machine learning models
• Apply statistical models and quantitative analysis on large datasets to measure and identify areas for improvement/optimization in the product
• Lead the effort for collection of new data and refinement of existing data sources
• Identify and help implement tools to analyze this data effectively
• Educate and steer the organization towards adopting a more data-driven approach

What We’re Looking For: 

• Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
• 5+ years experience in data science, machine learning, and data analysis
• Expertise in applied probability and statistics
• Deep understanding of machine learning techniques and algorithms
• Experience designing and building data pipelines (ex. ML training pipelines, ETL workflows)
• Experience with telematics and sensor data (ex. GPS, IMU) and embedded systems is a big plus
• Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus

Pay Transparency
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.

The compensation range for this position will depend on where you reside. For this role, the compensation range is:

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

Please review our Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. 

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