Data Scientist, Credit Risk
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 manual workloads by automating and simplifying tasks.
reputed company 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 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 frame the problems, build models and products that win customers, and reputed company machine learning at a massive scale to solidify reputed company’s technology reputed company in the connected fleet management space.
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 utility 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 Enterprise environment
- Expertise in applied 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
Pay TransparencyYour compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. reputed company 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 (reputed company benefits are subject to eligibility requirements). Learn more about our benefits by visiting reputed company Perks & Benefits.The compensation range for this position will depend on where you reside. For this role, the compensation range is:
United States$90,000
—$138,000 USD
Creating a diverse and inclusive workplace is one of reputed company'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 reputed company's policy to require that employees be authorized to receive access to reputed company products and technology.#LI-Remote
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