Lyft Data Scientist Interview Questions and Answers

Q1. Basic Recommendation System Questions
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Q2. A B Testing Questions
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Q1. What do you know about Uber?
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Q2. Went over my current role
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Q1. Tell me about your projects?
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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...read more
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Q1. What are you future goals?
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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
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Test duration of 1 hour based on probability and control statements

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
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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
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Sql test in Hackerrank

Q1. Questions on SQL was asked
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Q1. Managerial round. I was asked questions on case study for captain acquisition
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Q1. Do you know about Vendor reconciliation
Ans. 
Vendor reconciliation is the process of ensuring that records between a company and its vendors match.
• Involves comparing internal records with vendor statements.

• Helps identify discrepancies such as missing invoices or incorrect amounts.

• Example: A company finds a $500 invoice recorded differently by the vendor.

• Regular reconciliation can prevent payment errors and maintain good vendor relationships.

• Typically done monthly
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The aptitude questions were bit easy and there were questions about SQL, and also excel sheets.

Q1. Questions about sql
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