This Jobot Job is hosted by Denis Mikush
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary $135,000 – $150,000 per year
A Bit About Us
Our client is on a mission to help drivers save money and take control of their car payments. They do this by using technology to unlock low rates, and people to make the process easy and enjoyable. They offer a fully online application and a dedicated team to walk you through the process. Help put drivers in control
In the last year alone, they grew revenue by 5x and raised a $50M Series B. Their built by leaders from the technology, automotive, and finance industries, and are proud to be backed by a great team of venture capital investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others.
Why join us?
Our client is looking for a Senior Machine Learning engineer to help develop modeling and quantitative strategies in the Credit space. You’ll work closely with our Credit Strategy team to develop credit-centric productionized models including estimating propensity to respond to mailers and propensity to default on loans, among others. You’re familiar with credit data and best practices in the space, but also can think outside the box to develop novel solutions to major strategic initiatives for the business. You thrive in fast paced environments and have a knack for taking unstructured problems and breaking them down into digestible and actionable pieces.
A degree in a quantitative field like computer science, math, economics, statistics, finance, or engineering
3-5 years of experience in a data science role in the technology or finance space
Experience working consumer data (especially consumer finance), including data from credit bureaus
Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)
Expert in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)
Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter
Interested in hearing more? Easy Apply now by clicking the "Apply" button.