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Wells Fargo Data Scientist Interview Questions and Answers

Updated 20 Aug 2024

Wells Fargo Data Scientist Interview Experiences

4 interviews found

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. How to extract numbers pre decimal point from a long list of decimalnumbers with efficiency
  • Ans. 

    Use string manipulation to efficiently extract numbers before the decimal point from a list of decimal numbers.

    • Split each decimal number by the decimal point and extract the number before it

    • Use regular expressions to match and extract numbers before the decimal point

    • Iterate through the list and extract numbers using string manipulation functions

  • Answered by AI

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 Jul 2024. There were 3 interview rounds.

Round 1 - Assignment 

Assignment on credit risk

Round 2 - Technical 

(1 Question)

  • Q1. Hyperparameter tuning
Round 3 - Technical 

(1 Question)

  • Q1. Case study for problem solving

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Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Python coding question and ML question

Round 2 - Technical 

(1 Question)

  • Q1. ML questions from resume + general
Round 3 - One-on-one 

(1 Question)

  • Q1. Techno managerial round

Interview Questionnaire 

3 Questions

  • Q1. Mainly resume based. In detail from the project.
  • Q2. Softmax vs sigmoid
  • Ans. 

    Softmax and sigmoid are both activation functions used in neural networks.

    • Softmax is used for multi-class classification problems, while sigmoid is used for binary classification problems.

    • Softmax outputs a probability distribution over the classes, while sigmoid outputs a probability for a single class.

    • Softmax ensures that the sum of the probabilities of all classes is 1, while sigmoid does not.

    • Softmax is more sensitiv...

  • Answered by AI
  • Q3. Logistics regression (multiclass)

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the projects mentioned in your resume very well

Skills evaluated in this interview

Wells Fargo interview questions for designations

 Senior Data Scientist

 (1)

 Lead Data Analyst

 (1)

 Senior Data Analyst

 (1)

 Analytics Consultant

 (10)

 Senior Analytics Consultant

 (4)

 Quantitative Analyst

 (1)

 Analytics Manager

 (1)

 Data Analyst

 (5)

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Types of Chunking in data preparation in RAG
  • Q2. How Embedding works in Vector Databases
  • Q3. Explain ARIMA model
  • Q4. How can we decide to choose Linear Regression for a business problem
Round 2 - Technical 

(4 Questions)

  • Q1. What is token and it's limit for Open Source LLMs
  • Q2. Difference of a Regression and Time Series problem
  • Q3. Advantage of LSTM over RNN
  • Q4. Performance Metrics for Logistic Regression
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How do you define model Gini?
  • Ans. 

    Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.

    • Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).

    • It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.

    • A Gini coefficient of 0.5 indicates a model that is no better than random guessing.

    • Commonly used in credit

  • Answered by AI
  • Q2. How to you train XG boost model
  • Ans. 

    XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.

    • Specify parameters for XGBoost model such as learning rate, max depth, and number of trees

    • Split data into training and validation sets using train_test_split function

    • Fit the XGBoost model on training data using fit method

    • Tune hyperparameters using techniques like grid search

  • Answered by AI

Skills evaluated in this interview

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

I was asked Python, sql, coding questions

Round 2 - Case Study 

Case study on how would you identify the total number of footfall on a airport

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I was interviewed before Apr 2023.

Round 1 - Technical 

(1 Question)

  • Q1. Basic statistics
Round 2 - Technical 

(1 Question)

  • Q1. Project related

Interview Preparation Tips

Interview preparation tips for other job seekers - Donot join citi....no job security at all...I joined and was thrown in 3months due to their restructuring and budget issues.very bad management
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked about ml algos
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Many Mcq,s.Similar to cat exam

Round 2 - Case Study 

Ml case study . Eg loan default prediction

Wells Fargo Interview FAQs

How many rounds are there in Wells Fargo Data Scientist interview?
Wells Fargo interview process usually has 2-3 rounds. The most common rounds in the Wells Fargo interview process are Technical, One-on-one Round and Coding Test.
How to prepare for Wells Fargo Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Wells Fargo. The most common topics and skills that interviewers at Wells Fargo expect are Monitoring, Operations, Analytical, Machine Learning and Risk Management.
What are the top questions asked in Wells Fargo Data Scientist interview?

Some of the top questions asked at the Wells Fargo Data Scientist interview -

  1. How to extract numbers pre decimal point from a long list of decimalnumbers wit...read more
  2. Softmax vs sigm...read more
  3. Mainly resume based. In detail from the proje...read more

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Wells Fargo Data Scientist Interview Process

based on 3 interviews

Interview experience

2.7
  
Poor
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Wells Fargo Data Scientist Salary
based on 86 salaries
₹19.6 L/yr - ₹45 L/yr
104% more than the average Data Scientist Salary in India
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Wells Fargo Data Scientist Reviews and Ratings

based on 3 reviews

3.0/5

Rating in categories

2.1

Skill development

2.5

Work-life balance

3.9

Salary

3.8

Job security

2.5

Company culture

3.0

Promotions

2.5

Work satisfaction

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