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Ericsson Senior Data Scientist Interview Questions and Answers

Updated 28 Sep 2024

Ericsson Senior Data Scientist Interview Experiences

3 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. It was around recent projects, did an entire walkthrough of one of my projects related to deduplication of nlp content. At some of the stages, alternative objectives were evaluated. Ex: How to handle incre...
Round 2 - Technical 

(1 Question)

  • Q1. This was more on the depth of ML concepts. Information loss vs dimensional reductions, transformer architecture, metrics for different problem settings, loss functions, outlier analysis, drift detection et...
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Business problem and how that can be solved using data science

Senior Data Scientist Interview Questions Asked at Other Companies

Q1. What is the difference between logistic and linear regression?
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Q3. Print rows where a certain criterion is met (ex - in a dataset of ... read more
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Q4. Extract only India Players from dictionary (using list comprehens ... read more
Q5. How do you handle large amount of data in financial domain?

I was interviewed in Oct 2021.

Interview Questionnaire 

4 Questions

  • Q1. Basics of Machine Learning
  • Q2. In depth discussion of your projects in Machine Learning / Deep Learning
  • Q3. How to approach a business problem from Data Science perspective?
  • Ans. 

    Approach business problem with data science by understanding the problem, collecting relevant data, analyzing data, and presenting insights.

    • Understand the business problem and define the objective

    • Collect relevant data from various sources

    • Clean and preprocess the data

    • Analyze the data using statistical and machine learning techniques

    • Present insights and recommendations to stakeholders

    • Iterate and refine the approach as ne

  • Answered by AI
  • Q4. Explainability in Deep Learning
  • Ans. 

    Explainability in Deep Learning refers to the ability to understand and interpret the decisions made by a deep learning model.

    • Explainability is important for ensuring transparency and accountability in AI systems.

    • It can be achieved through techniques such as feature visualization, saliency maps, and attention mechanisms.

    • Explainability can also help identify biases and errors in the model.

    • Examples of explainable deep le...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - 7 rounds including a couple of rounds with hiring manager, 3 data science rounds, 1 HR round, 1 with senior management

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Instahyre and was interviewed before Sep 2022. 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 - One-on-one 

(1 Question)

  • Q1. Technical questions related to NLP, Computer Vision and Projects that I worked on. Detailed discussion on evaluation metrics that I used.
Round 3 - One-on-one 

(1 Question)

  • Q1. Interview with the Manager to whom I was going to report, it was mostly related to Deep Leaning in which questions related to batch normalisation, various activation functions along with drawbacks were ask...
Round 4 - Aptitude Test 

A simple aptitude test was organised but it was not an eliminator, just to check your aptitude

Interview Preparation Tips

Interview preparation tips for other job seekers - It's the easiest round, if you clear the second round of interview with the manager then you are through. Just ensure that concepts are clear, nothing fancy just ensure that your base is clear and you are able to explain your projects clearly.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic ML questions were asked.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. All technical questions related to profile
Round 3 - Technical 

(1 Question)

  • Q1. Data science questions
Round 4 - Behavioral 

(1 Question)

  • Q1. Current role and experience related
Round 5 - Technical 

(2 Questions)

  • Q1. Technical questions
  • Q2. Data science questions by onshore team
Round 6 - HR 

(2 Questions)

  • Q1. Salary joining date
  • Q2. Expected salary joining date
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Instahyre and was interviewed before Sep 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Technical questions related to NLP, Computer Vision and Projects that I worked on. Detailed discussion on evaluation metrics that I used.
Round 3 - One-on-one 

(1 Question)

  • Q1. Interview with the Manager to whom I was going to report, it was mostly related to Deep Leaning in which questions related to batch normalisation, various activation functions along with drawbacks were ask...
Round 4 - Aptitude Test 

A simple aptitude test was organised but it was not an eliminator, just to check your aptitude

Interview Preparation Tips

Interview preparation tips for other job seekers - It's the easiest round, if you clear the second round of interview with the manager then you are through. Just ensure that concepts are clear, nothing fancy just ensure that your base is clear and you are able to explain your projects clearly.

Ericsson Interview FAQs

How many rounds are there in Ericsson Senior Data Scientist interview?
Ericsson interview process usually has 1-2 rounds. The most common rounds in the Ericsson interview process are Technical.
How to prepare for Ericsson Senior 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 Ericsson. The most common topics and skills that interviewers at Ericsson expect are Machine Learning, Bidding, CRM, Data Science and Google AdWords.
What are the top questions asked in Ericsson Senior Data Scientist interview?

Some of the top questions asked at the Ericsson Senior Data Scientist interview -

  1. How to approach a business problem from Data Science perspecti...read more
  2. Explainability in Deep Learni...read more
  3. This was more on the depth of ML concepts. Information loss vs dimensional redu...read more

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Ericsson Senior Data Scientist Interview Process

based on 4 interviews

1 Interview rounds

  • Technical Round
View more
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Ericsson Senior Data Scientist Salary
based on 43 salaries
₹16.2 L/yr - ₹65.3 L/yr
44% more than the average Senior Data Scientist Salary in India
View more details

Ericsson Senior Data Scientist Reviews and Ratings

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4.1/5

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