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ExxonMobil Data Scientist Interview Questions and Answers

Updated 27 May 2024

ExxonMobil Data Scientist Interview Experiences

2 interviews found

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

(1 Question)

  • Q1. Basic data science and statistics interview questions along with their mathematical understanding.
Round 2 - Technical 

(1 Question)

  • Q1. Data science questions with mathematical understanding
Round 3 - HR 

(1 Question)

  • Q1. STAR type questions
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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Cfd questions like forward difference scheme and backward difference scheme.
  • Q2. In which direction the fluid flows in a vertical pipe when the pressures at two vertical locations are given.
  • Ans. 

    The direction of fluid flow in a vertical pipe depends on the pressure difference between two vertical locations.

    • Fluid flows from high pressure to low pressure.

    • If the pressure at the lower location is higher than the pressure at the upper location, the fluid will flow downwards.

    • If the pressure at the upper location is higher than the pressure at the lower location, the fluid will flow upwards.

    • The magnitude of the press...

  • Answered by AI
Round 3 - HR 

(3 Questions)

  • Q1. About Work experience
  • Q2. How do you handle a negative outcome?
  • Ans. 

    I handle negative outcomes by analyzing the root cause and identifying potential solutions.

    • I remain calm and objective to avoid making hasty decisions.

    • I review the data and identify the root cause of the negative outcome.

    • I brainstorm potential solutions and evaluate their feasibility.

    • I implement the best solution and monitor its effectiveness.

    • I use the experience as a learning opportunity to improve future outcomes.

  • Answered by AI
  • Q3. What are the factors that demotivates you in work?
Round 4 - Technical 

(3 Questions)

  • Q1. Questions based on Bernoullis principle.
  • Q2. How to find if a point is inside or outside of a regular polygon?
  • Ans. 

    To find if a point is inside or outside of a regular polygon, we can use the Ray Casting algorithm.

    • Draw a line from the point to a point outside the polygon

    • Count the number of times the line intersects with the polygon edges

    • If the number of intersections is odd, the point is inside the polygon

    • If the number of intersections is even, the point is outside the polygon

  • Answered by AI
  • Q3. Coding questions by the specialist in US.
Round 5 - Coding Test 

3 questions on various problems based on arrays and matrices.

Interview Preparation Tips

Interview preparation tips for other job seekers - Work well on the closing skills and basics of fluid mechanics.

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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.

Interview Questionnaire 

2 Questions

  • Q1. Three skills required to be a good data scientist?
  • Q2. Answer: Curious , Extremely argumentative and judgemental
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(6 Questions)

  • Q1. Which GenAI projects I have worked on
  • Q2. What is the context window in LLMs
  • Ans. 

    Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.

    • Context window helps LLMs capture dependencies between words in a sentence.

    • A larger context window allows the model to consider more context but may lead to increased computational complexity.

    • For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo

  • Answered by AI
  • Q3. What is top_k parameter
  • Ans. 

    top_k parameter is used to specify the number of top elements to be returned in a result set.

    • top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

    • For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

    • In natural language processing tasks, top_k can be used to limit the number of possible next words in a

  • Answered by AI
  • Q4. What are regex patterns in python
  • Ans. 

    Regex patterns in Python are sequences of characters that define a search pattern.

    • Regex patterns are used for pattern matching and searching in strings.

    • They are created using the 're' module in Python.

    • Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.

  • Answered by AI
  • Q5. What are iterators and tuples
  • Ans. 

    Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.

    • Iterators are used to loop through elements in a collection, like lists or dictionaries

    • Tuples are similar to lists but are immutable, meaning their elements cannot be changed

    • Example of iterator: for item in list: print(item)

    • Example of tuple: my_tuple = (1, 2, 3)

  • Answered by AI
  • Q6. Do I have REST API experience
  • Ans. 

    Yes, I have experience working with REST APIs in various projects.

    • Developed RESTful APIs using Python Flask framework

    • Consumed REST APIs in data analysis projects using requests library

    • Used Postman for testing and debugging REST APIs

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
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 Resume tips
Round 2 - Case Study 

Case Study for Data Analysis for marketing company

Round 3 - Group Discussion 

Group Discussion on Case Study

Round 4 - One-on-one 

(2 Questions)

  • Q1. Technical round questions about data analytics
  • Q2. Technical round about data analytics

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident!
Interview experience
5
Excellent
Difficulty level
-
Process Duration
Less than 2 weeks
Result
-

I was interviewed in Aug 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. DFA Focus :Sorting ,Searching ,Stacks,Queues, HashMaps
  • Q2. Os & cn: Process scheduling, TCP/IP, HTTP basics
Round 1 - Technical 

(2 Questions)

  • Q1. 1. Complete Introduction. 2. About ML/DL projects.(Discussed end to end project) 3. How you select particular ml algorithm & why? 4. Question on Random forest and XGboost algorithm. 5. Classification perfo...
  • Q2. 1. In depth about precious work. From data collection to model deployment. 2.Problem faced during project & how you tackle the problem ( In depth and basic follow up question ) 3. CNN architecture. 4. Why ...

I applied via Naukri.com and was interviewed in Jun 2022. There were 2 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 Resume tips
Round 2 - Aptitude Test 

Machine learning and artificial intillegence

Interview Preparation Tips

Interview preparation tips for other job seekers - All complex prob solving in data , an data are requirement to sortout and best work in this domains

I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.

Round 1 - Aptitude Test 

There was details syllabus and couse cover

Round 2 - Group Discussion 

Around 20 people participating in o e gd

Round 3 - HR 

(1 Question)

  • Q1. General information about you

Interview Preparation Tips

Interview preparation tips for other job seekers - Do focus on project u are going for.also study about the company the general mathematics along with logical reasoning
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ExxonMobil Interview FAQs

How many rounds are there in ExxonMobil Data Scientist interview?
ExxonMobil interview process usually has 4 rounds. The most common rounds in the ExxonMobil interview process are Technical, HR and Resume Shortlist.
How to prepare for ExxonMobil 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 ExxonMobil. The most common topics and skills that interviewers at ExxonMobil expect are Python, Data Science, MATLAB, Machine Learning and R.
What are the top questions asked in ExxonMobil Data Scientist interview?

Some of the top questions asked at the ExxonMobil Data Scientist interview -

  1. In which direction the fluid flows in a vertical pipe when the pressures at two...read more
  2. How to find if a point is inside or outside of a regular polyg...read more
  3. How do you handle a negative outco...read more

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ExxonMobil Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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ExxonMobil Data Scientist Salary
based on 54 salaries
₹14 L/yr - ₹52 L/yr
128% more than the average Data Scientist Salary in India
View more details

ExxonMobil Data Scientist Reviews and Ratings

based on 6 reviews

4.1/5

Rating in categories

3.7

Skill development

4.5

Work-life balance

4.1

Salary

3.6

Job security

4.2

Company culture

3.7

Promotions

3.9

Work satisfaction

Explore 6 Reviews and Ratings
Physical Data Scientist

Bangalore / Bengaluru

3-5 Yrs

₹ 21-52 LPA

Commercial Data Scientist

Bangalore / Bengaluru

2-7 Yrs

Not Disclosed

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