You Can Be a Data Scientist at Lyft — Interview Questions And Answers

2023 — All Of the Questions I was Asked with Answers

I interviewed for a Data Science role at Lyft in Early Jan. Here are the questions I was asked with answers. You will probably be asked similar questions.

First Round Take-Home Assignment

The first round typically involves a take-home assignment. In my case, I was given a dataset containing information about user ride requests and asked to build a model to predict whether a given ride would be completed. The specific task and dataset may vary, but expect something similar.

The key is to focus on the basics and ensure that your model meets a certain benchmark. Don’t worry too much about creating fancy visualizations or doing extensive exploratory data analysis (EDA). The hiring team just wants to see that you can build a functional model that performs well.

To give you an idea, here’s some example code that may be relevant:

import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
# Load data
data = pd.read_csv('ride_requests.csv')
# Preprocess data
# ...
# Split data
X_train, X_test, y_train, y_test =…