Data Scientist

Motive empowers physical operations with tools for safety, productivity, and profitability, serving 120,000+ customers across various industries.
$90,000 - $138,000
Data
Mid-Level Software Engineer
Remote
3+ years of experience
Enterprise SaaS · Logistics · Finance

Description For Data Scientist

Motive is a pioneering company that serves over 120,000 customers across various industries, providing innovative solutions for fleet management and physical operations. We're seeking a Data Scientist to join our team and work on the Motive Card initiative, a corporate card solution integrated with our fleet management platform.

In this role, you'll be at the forefront of building and implementing credit risk and fraud models that are crucial for the Motive Card's success. You'll work with cutting-edge machine learning technologies at scale, helping to maintain Motive's technological leadership in the connected fleet management space.

The ideal candidate will bring strong quantitative skills, with experience in data science and machine learning, particularly in credit risk and fraud detection. You'll collaborate with cross-functional teams, working on everything from problem framing to model deployment. This position offers competitive compensation and comprehensive benefits, including health coverage and 401k contributions.

This is an excellent opportunity for someone who wants to make a significant impact in a growing company that's transforming how physical operations are managed. You'll be working on challenging problems that directly affect business outcomes, while having the flexibility of remote work. Join us in building the future of fleet management and financial operations technology.

Last updated 18 days ago

Responsibilities For Data Scientist

  • 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

Requirements For Data Scientist

Python
  • Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
  • 3+ years experience in data science, machine learning, and data analysis
  • 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

Benefits For Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Health insurance
  • Pharmacy coverage
  • Optical care
  • Dental care
  • Paid time off
  • Sick time off
  • Short term disability coverage
  • Long term disability coverage
  • Life insurance
  • 401k contribution

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