Senior Data Scientist

Who we are: 

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. Motive combines IoT hardware with AI-powered applications to connect and automate physical operations. Motive is one of the fastest-growing software companies in the world, serving more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery.

Motive is built on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This has taken our company to great heights, including being recognized by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity. We’re proud to receive an employee net promoter score of 63 (according to Comparably) which places Motive in the top 5% of companies with 4,000 employees or more. 

Today, our team is made up of more than 4,000 employees, located across the world, providing support to a wide range of customers. While most of our employees are remote, many have the opportunity to work on-site at any of our 8 global office locations. Visit our careers website to learn more about opportunities at Motive. 

About the Role:

We are looking for a Senior Data Scientist to help us understand driver performance, detecting risky behaviors/drivers better and improve on overall event detection through algorithm changes.

We are looking for someone with a strong data science background to work with us on solving some of the most exciting, real world challenges, using data coming in from over hundreds of thousands of trucks. We have access to a virtually unlimited amount of data and we use it to create crucial impact - through timely catching critical incidents and providing actionable insights to Fleet Managers to help them improve their driver safety.

What You'll Do:

• Analyze an extensive stream of telematics data and strategize on ways to further improve detection risky behavior or how to get better at catching a certain type of collision and making required changes to bring that to fruition.
• Watching out for and addressing any customer concerns that may arise
• Monitor dashboards to ensure everything is working as expected.

What We're Looking For:

Must Haves:

• Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Physics or Statistics
• 4+ 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 building outlier detection algorithms
• End-to-end data-driven model deployment experience
• Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). 

Good to Haves:

• Master's Degree in a relevant field
• Experience in signal processing
• Experience working with telematics data
• Background in Physics based research
• PySpark experience is a plus.

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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