Premium Employer

i

This company page is being actively managed by Wells Fargo Team. If you also belong to the team, you can get access from here

Wells Fargo Verified Tick

Compare button icon Compare button icon Compare

Filter interviews by

Clear (1)

Wells Fargo Data Scientist Interview Questions and Answers

Updated 20 Aug 2024

Wells Fargo Data Scientist Interview Experiences

4 interviews found

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
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

Data Scientist Interview Questions Asked at Other Companies

Q1. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
Q2. Special Sum of Array Problem Statement Given an array 'arr' conta ... read more
asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with Random Pointers Given a linked list wher ... read more
asked in Coforge
Q5. coding question of finding index of 2 nos. having total equal to ... read more
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 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)

 Senior Data Analyst

 (1)

 Lead Data Analyst

 (1)

 Analytics Consultant

 (10)

 Senior Analytics Consultant

 (4)

 Quantitative Analyst

 (1)

 Analytics Manager

 (1)

 Data Analyst

 (5)

Interview questions from similar companies

I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between CNN and MLP
  • Ans. 

    CNN is used for image recognition while MLP is used for general classification tasks.

    • CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

    • CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

    • CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

    • CNN can handle input of varying

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic statistics . Also prepare atleast 2 , 3 ML algorithms for the interview.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Medium General Aptitude questions and technical(Big Data, Python etc.)

Round 2 - Technical 

(1 Question)

  • Q1. ML Algorithms (SVM, Random forest, bagging boosting, ridge, etc)
Round 3 - Technical 

(1 Question)

  • Q1. Deep equations and understading of DL and ML Algorithms
  • Ans. 

    Understanding deep equations and algorithms in DL and ML is crucial for a data scientist.

    • Deep learning involves complex neural network architectures like CNNs and RNNs.

    • Machine learning algorithms include decision trees, SVM, k-means clustering, etc.

    • Understanding the math behind algorithms helps in optimizing model performance.

    • Equations like gradient descent, backpropagation, and loss functions are key concepts.

    • Practica...

  • Answered by AI

Skills evaluated in this interview

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

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

I applied via Company Website and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Coding Test 

Strong DSA required to crack this Interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
No response
Round 1 - Coding Test 

Find second max in list, cal moving avg of a df

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

(1 Question)

  • Q1. Central Limit Theorem
  • Ans. 

    Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

    • The Central Limit Theorem is essential in statistics as it allows us to make inferences about a population based on a sample.

    • It states that regardless of the shape of the population distribution, the sampling distribution of the sample mean will be approximately normally distribut...

  • Answered by AI
Contribute & help others!
anonymous
You can choose to be anonymous

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 Assignment.
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

Recently Viewed

INTERVIEWS

IBM

No Interviews

INTERVIEWS

Swiggy

No Interviews

INTERVIEWS

SRF

No Interviews

INTERVIEWS

Amazon

No Interviews

INTERVIEWS

Amazon

No Interviews

INTERVIEWS

LTIMindtree

No Interviews

INTERVIEWS

Delivery.com

No Interviews

INTERVIEWS

Mphasis

No Interviews

DESIGNATION

JOBS

Fractal Analytics

No Jobs

Tell us how to improve this page.

Wells Fargo Data Scientist Interview Process

based on 3 interviews

Interview experience

2.7
  
Poor
View more
Join Wells Fargo Discover a welcome difference. Discover Wells Fargo.
Wells Fargo Data Scientist Salary
based on 89 salaries
₹19.4 L/yr - ₹45 L/yr
103% more than the average Data Scientist Salary in India
View more details

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

Explore 3 Reviews and Ratings
Senior Software Engineer
4.7k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Financial Analyst
2.6k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Assistant Vice President
1.4k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Senior Financial Analyst
1.4k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Software Engineer
1.4k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Explore more salaries
Compare Wells Fargo with

HSBC Group

4.0
Compare

Standard Chartered

3.7
Compare

JPMorgan Chase & Co.

4.0
Compare

Bank of America

4.2
Compare
Did you find this page helpful?
Yes No
write
Share an Interview
Rate your experience using AmbitionBox
Terrible
Terrible
Poor
Poor
Average
Average
Good
Good
Excellent
Excellent