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Lyft Data Scientist Interview Questions and Answers

Updated 7 Apr 2024

Lyft Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Oct 2023. There was 1 interview round.

Round 1 - HR 

(3 Questions)

  • Q1. Why do you think you are a good fit for Lyft?
  • Q2. What are your salary expectations?
  • Q3. Tell me about your prior work experience.

Interview Preparation Tips

Topics to prepare for Lyft Data Scientist interview:
  • Statistics
  • Probability
  • SQL
Interview preparation tips for other job seekers - Brush up on Statistics and Probability theory.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. What do you know about Uber?
  • Q2. Went over my current role
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Tell me about your projects?
  • Q2. How do you approach the project if you are using logistic regression model?
  • Ans. 

    Approach involves data preprocessing, model training, evaluation, and interpretation.

    • Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

    • Split the data into training and testing sets.

    • Train the logistic regression model on the training data.

    • Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

    • Interpret the model coefficients to under...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. What are you future goals?
  • Q2. What would you do if your interested field doesnt have any work in the company?
  • Ans. 

    I would seek opportunities to apply my skills in related fields within the company.

    • Explore other departments or teams within the company that may have projects related to my field of interest

    • Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

    • Seek out professional development opportunities to expand my skills and knowledge in related areas

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Basic Recommendation System Questions
  • Q2. A B Testing Questions
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Coding and data structure
Round 2 - Technical 

(1 Question)

  • Q1. ML Breadth and depth
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Test duration of 1 hour based on probability and control statements

Round 3 - Technical 

(2 Questions)

  • Q1. Ml algorithms that you have prior knowledge about
  • Ans. 

    I have prior knowledge about various machine learning algorithms.

    • Linear Regression

    • Logistic Regression

    • Decision Trees

    • Random Forests

    • Support Vector Machines

    • Naive Bayes

    • K-Nearest Neighbors

    • Gradient Boosting

    • Neural Networks

  • Answered by AI
  • Q2. Data visualization techniques you have studied and used
  • Ans. 

    I have studied and used various data visualization techniques including bar charts, line graphs, scatter plots, and heat maps.

    • I have experience creating bar charts to compare data across categories

    • I have used line graphs to show trends over time

    • I have created scatter plots to identify correlations between variables

    • I have used heat maps to visualize data density and identify patterns

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - learn statistics and python for visualization. learn SQL for data queries

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Sql test in Hackerrank

Round 3 - One-on-one 

(1 Question)

  • Q1. Questions on SQL was asked
Round 4 - One-on-one 

(1 Question)

  • Q1. Managerial round. I was asked questions on case study for captain acquisition

I applied via Naukri.com and was interviewed in Jul 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Technical

Interview Preparation Tips

Interview preparation tips for other job seekers - It was virtual , short and straight to the point
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Jul 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

Number sires, clock, logic, arithmetic, geometry

Round 3 - Coding Test 

Code test basic, ans the basic knowledge, write code

Round 4 - Technical 

(5 Questions)

  • Q1. What is python?
  • Ans. 

    Python is a high-level programming language known for its simplicity and readability.

    • Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

    • It emphasizes code readability and uses indentation to define code blocks.

    • Python has a large standard library and a vibrant community of developers.

    • Example: print('Hello, World!')

    • Example: import pandas as pd

  • Answered by AI
  • Q2. What is python used for?
  • Ans. 

    Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.

    • Data analysis and visualization

    • Web development (Django, Flask)

    • Artificial intelligence and machine learning (TensorFlow, PyTorch)

    • Automation and scripting

    • Scientific computing (NumPy, SciPy)

  • Answered by AI
  • Q3. What type of language is python?
  • Ans. 

    Python is a high-level programming language known for its simplicity and readability.

    • Python is an interpreted language, meaning it does not need to be compiled before running.

    • It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

    • Python has a large standard library and a thriving community, making it versatile and widely used.

    • Example: Python is used for web develop...

  • Answered by AI
  • Q4. What is oops in python?
  • Ans. 

    Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.

    • OOP allows for the organization of code into reusable components called classes.

    • Classes can have attributes (variables) and methods (functions) associated with them.

    • In Python, everything is an object, and classes can be defined using the 'class' keyword.

    • Encapsulation, inheritance, and polymorph

  • Answered by AI
  • Q5. What is array in python?
  • Ans. 

    An array in Python is a data structure that stores a collection of elements of the same type.

    • Arrays can store elements such as integers, floats, or strings.

    • Arrays are indexed starting from 0, with elements accessed using their index.

    • Example: arr = ['apple', 'banana', 'cherry']

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Swiggy Data Analyst interview:
  • Advanced Excel
  • SQL Server
  • Python
Interview preparation tips for other job seekers - online interview

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Asked array questions medium level

Round 2 - HR 

(2 Questions)

  • Q1. About my internships
  • Q2. And projects in detail

Interview Preparation Tips

Interview preparation tips for other job seekers - No advice just prepare well

Lyft Interview FAQs

How many rounds are there in Lyft Data Scientist interview?
Lyft interview process usually has 1 rounds. The most common rounds in the Lyft interview process are HR.

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Lyft Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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