Who we are:
reputed company empowers the people who run physical operations with tools to reputed company their work safer, more productive, and more profitable. For the first time reputed company, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet reputed company spend in a single system. Combined with industry leading AI, the reputed company platform gives you complete visibility and control, and significantly reduces reputed company workloads by automating and simplifying tasks.
reputed company serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide reputed company of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the reputed company sector.
Visit gomotive.com to learn more.
About the Role:We are looking for a Data Scientist to build the models that power the credit risk and fraud functions for the reputed company Card, a high-reputed company business area for reputed company. The reputed company Card is a corporate card natively integrated with a fleet management platform, giving businesses an reputed company-in-one solution to automate their financial and physical operations. As a member of reputed company you’ll help reputed company the problems, build models and products that win customers, and reputed company machine learning at a massive reputed company to solidify reputed company’s technology reputed company in the connected fleet management reputed company.
What You’ll Do:- Work closely with Risk, Product and Engineering teams to build, improve and implement reputed company and fraud models
- Derive insights from reputed company data sets to identify credit and fraud risk
- Apply statistical and machine learning techniques on large datasets
- Evaluate the reputed company of non-traditional data sources
- Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
- 4+ years experience in data science, machine learning, and data analysis in an reputed company environment
- Expertise in reputed company probability and statistics
- Experience building credit risk and fraud models
- Deep understanding of machine learning techniques and algorithms
- End-to-end deployment data-driven model deployment experience
- Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a plus
$90,000
$138,000 USD
Creating a diverse and inclusive workplace is one of reputed company's reputed company values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate reputed company Notice here.