Job Details

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 nearly 100,000 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.

We are looking for a Senior Applied Scientist to build the models that power the credit risk and fraud functions for the Motive Card, a key focus area for Motive. The Motive Card is a corporate card natively integrated with a fleet management platform, giving businesses an all?in?one solution to automate their financial and physical operations. As a member of our team youll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify Motives technology lead in the connected fleet management space.

What Youll Do:

• Work closely with Risk, Product and Engineering teams to build, improve and implement underwriting and fraud models
• Derive insights from complex data sets to identify credit and fraud risk
• Apply statistical and machine learning techniques on large datasets
• Evaluate the utility of non?traditional data sources

What Were Looking For:

• Bachelors degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
• 7+ years experience in data science, machine learning, and data analysis specifically in the Credit Risk space
• Expertise in applied probability and statistics

Experience building credit risk and fraud models

• Deep understanding of machine learning techniques and algorithms
• Expertise in data?oriented programming (SQL) and statistical programming (Python, R). PySpark experience is a big plus

Pay Transparency

U.S. Compensation range: $138,000 - $172,000 USD. Compensation may also include restricted stock units, depending on factors such as education, experience, and certifications.

Benefits include health, pharmacy, optical, and dental care; paid time off; sick time off; short?term and long?term disability coverage; life insurance; and 401(k) contribution (subject to eligibility). For more information, visit Motive Perks & Benefits.

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