Remote Data Scientist, Credit Risk

Description:

• Motive is seeking a Data Scientist to develop models for credit risk and fraud functions related to the Motive Card, which integrates with a fleet management platform.
• The role involves collaborating with Risk, Product, and Engineering teams to enhance underwriting and fraud models.
• Responsibilities include deriving insights from complex data sets to assess credit and fraud risk, applying statistical and machine learning techniques on large datasets, and evaluating non-traditional data sources.

Requirements:

• A Bachelor's degree or higher in a quantitative field such as Computer Science, Math, Economics, or Statistics is required.
• Candidates must have 4+ years of experience in data science, machine learning, and data analysis within an Enterprise environment.
• Expertise in applied probability and statistics is essential.
• Experience in building credit risk and fraud models is necessary.
• A deep understanding of machine learning techniques and algorithms is required.
• Candidates should have end-to-end deployment experience for data-driven models.
• Proficiency in data-oriented programming (e.g., SQL) and statistical programming (e.g., Python, R) is required, with PySpark experience being a plus.

Benefits:

• Motive offers a comprehensive benefits package that includes health, pharmacy, optical, and dental care benefits.
• Employees receive paid time off, sick time off, and short-term and long-term disability coverage.
• Life insurance and a 401k contribution plan are also part of the benefits.
• Compensation for this position ranges from $90,000 to $138,000 USD, depending on the candidate's location and qualifications.