Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as:
* Having a direct impact on the company's success * Collaborative, intelligent, and open team * Mentorship, growth, and friendship * Leader committed to challenging and growing team members * Feeling safe asking for help when it's necessary; feeling trusted to get the job done when it's not
We are looking for a machine learning specialist that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
* Solid grasp of the math of machine learning -- you should be comfortable thinking about optimization functions, linear algebra, etc. as we develop custom learning algorithms * Proficient at programming in Python or R * Fluency in data manipulation (SQL, Spark, Pandas) * Experience with machine learning tools such as scikit-learn, XGBoost, and Keras/Tensorflow * Familiarity with CNNs, RNN, LSTMs, and the latest research trends in deep learning * 2+ years professional experience developing and implementing machine learning models
About Upstart Network
Upstart Network is an online lending platform that uses data to bring together high potential borrowers and investors.