Mission: Avant"s mission is to lower the costs and barriers of borrowing for a highly-underserved credit market: middle-income consumers. We do this by using big data and machine-learning algorithms to offer consumers access to highly customized offers and streamlined decisions so funds can be delivered as soon as the next business day. At our core, Avant reimagines the FinTech space by building advanced platforms and using custom analytics to create a better lending experience for our customers.
What is your relevant experience?
Describe a random forest.
Describe a project that you think would most be relevant to the job you"re applying for.
How do you deal with missing values using XGBoost?
What are the assumptions of logistic regression?
How do you reduce the size of the dataset?
How do you group continental US states data?
Talk about a project/model you are familiar with.
Talk about some advanced feature engineering concepts.
Pick one of your favorite machine learning algorithms and explain it to me
Stage 1: Phone screen with HR
Stage 2: Technical phone interview
Stage 3: Data challenge
Stage 4: Onsite interview The technical interview includes questions about machine learning models, regression, decision tree, random forest and some probability questions.
Pathrise is a career accelerator that helps people land their dream jobs. We regularly place our fellows at top companies like Apple, Amazon, and Meta. Our mentors have experience at companies like Apple, giving fellows the inside scoop on interview and company culture in 1-on-1 sessions.
We can’t guarantee you a job at a specific company like Apple. But we do guarantee you a great job–if you don’t accept an offer in 1 year, you pay nothing. Our income share agreement means you only pay with a percentage of your income at your new role.
Mentors work with fellows at every stage in search, helping them build the skills necessary to be the best candidate possible. Fellows in Pathrise usually see a 2-4x increase in application response rates, 1.5-3x increase in interview scores, and 10-20% increase in salary through negotiation.