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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

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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

Senior Data Scientist Jobs at Ericsson

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Interview questions from similar companies

I applied via Other and was interviewed in Nov 2017. There were 5 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. Brief Role on job and tools and technology I worked with day to day activity
  • Ans. 

    As a Senior Software Engineer, I worked with various tools and technologies to develop and maintain software applications.

    • Developed and maintained software applications using Java, Python, and C++ programming languages

    • Used Agile methodology for software development and collaborated with cross-functional teams

    • Worked with various tools such as Git, JIRA, Jenkins, and Docker for version control, issue tracking, continuous...

  • Answered by AI
  • Q2. In-depth technical interview which went around 40 min. since i had 8 years of experience
  • Q3. Fully technical
  • Q4. Salary discussion and Document verification.

Interview Preparation Tips

Round: Resume Shortlist
Experience: Keywords that I put in of the technology, tools , experience.. (I guess )

General Tips: Just stay calm. Do not show fake experience, Speak genuinely, Answer to the point and explain if you have to add on more depending on your experience. Do not be over confident. Speak start to the eyes
Skills: Communication, Problem Solving, Analytical Skills, Leadership, Presentation Skills, Decision Making Skills
Duration: 1-3 Months

I applied via Monster and was interviewed before Mar 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. How much salary you are expecting? Was my last question. .

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview was really easy going. Technical was informative round. By answering questions, interviewer also help me to reach out to the depth of the topic. Work culture is also good here.

I applied via Recruitment Consultant and was interviewed in Jul 2018. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. What is the biggest challenge you faced in developing azure solution?
  • Ans. 

    The biggest challenge in developing Azure solution was managing the complexity of the cloud environment.

    • Managing the complexity of the cloud environment

    • Ensuring scalability and reliability

    • Integrating with existing systems

    • Securing the solution

    • Optimizing cost

    • Example: Migrating a legacy application to Azure

  • Answered by AI
  • Q2. In azure data factory how would you implement the functionality of tumbling window without actually using that feature already available?
  • Ans. 

    Implementing tumbling window in Azure Data Factory without using the feature

    • Create a pipeline with a trigger that runs at the desired interval

    • Use a lookup activity to retrieve the data for the current window

    • Use a foreach activity to iterate over the retrieved data

    • Perform the required operations on the data within the foreach activity

    • Write the output to the desired destination

  • Answered by AI
  • Q3. What would be your suggestion for implementation in azure data factory v2?
  • Ans. 

    My suggestion for implementation in Azure Data Factory v2 is to use the Mapping Data Flow feature.

    • Utilize Mapping Data Flow for complex data transformations

    • Take advantage of the visual interface to design and debug data flows

    • Leverage the built-in data integration capabilities with other Azure services

    • Use data flow parameters and expressions for dynamic transformations

    • Monitor and optimize data flow performance using dat

  • Answered by AI
  • Q4. I was given a project scenario and was requested to choose from below cluster or cluster less , hive or u-sql?

Interview Preparation Tips

General Tips: Be pretty confident on the current project you are working on. It's ok that you do not know the complete technology but you should have the complete picture of stuff you are working on. Be clear as to why are using specific technology for your project and not the other one. For example, i worked on azure and drilled my way to understand the edge azure has over aws. I did good work onto why are we using hive language and azure data ware house for our project instead of using u-sql and azure SQL data base. Do not bluff, better be humble to accept that we are not fully aware of something and given a chance to work on, we will. And last thing, smile and appreciate the effort put in by interviewer.
Skills: Coding Skills, Datawarehousing, Azure data factory, Problem Solving, Analytical Skills
Duration: <1 week

Skills evaluated in this interview

I applied via Walk-in and was interviewed before May 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is C++
  • Ans. 

    C++ is a high-level programming language used for developing system software, application software, device drivers, and video games.

    • C++ is an extension of the C programming language.

    • It supports object-oriented programming concepts like classes, inheritance, polymorphism, and encapsulation.

    • C++ is used in developing operating systems, browsers, databases, and other software applications.

    • It is known for its performance an...

  • Answered by AI
  • Q2. What is Link List
  • Ans. 

    A data structure that stores a sequence of elements in a linear order.

    • Consists of nodes that contain data and a pointer to the next node.

    • Can be singly linked or doubly linked.

    • Used for implementing stacks, queues, and hash tables.

    • Example: Singly linked list - 1 -> 2 -> 3 -> null

    • Example: Doubly linked list - null <- 1 <-> 2 <-> 3 -> null

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't go

Skills evaluated in this interview

Interview Questionnaire 

3 Questions

  • Q1. Technical stuff from SDH,MPLS,VLAN,IP tables etc
  • Q2. Under which principle does VLAN work?
  • Ans. 

    VLAN works under the principle of network segmentation.

    • VLAN separates a physical network into multiple logical networks.

    • It improves network performance, security, and management.

    • VLAN tags packets with a unique identifier to identify the network they belong to.

    • Example: VLAN can be used to separate guest and employee networks in a company.

  • Answered by AI
  • Q3. What is current CTC and expected CTC
  • Ans. 

    The question asks about the candidate's current and expected salary.

    • Be honest and transparent about your current salary.

    • Research the market rates for your role and level of experience to determine a reasonable expected salary.

    • Consider other benefits and perks besides the base salary.

    • Avoid discussing salary expectations too early in the interview process.

    • Focus on the value you can bring to the company rather than just t

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Nov 2019. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Why are you looking for the job change?
  • Q2. Relevant technical questions, as per my current technology

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep it simple and be yourself. That's what the interviewers looked into. Also a thorough understanding of the technology is a must and that is what will help you in cracking the interview. You don't have to go in-depth, just the overview and what happens when is what they look for. Good communication skills is also an added incentive, something I always try to work on. All the best

I applied via Naukri.com and was interviewed before Dec 2019. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. We were asked to make a hotel booking app in reactjs.
  • Ans. 

    To make a hotel booking app in ReactJS

    • Create a form to input booking details

    • Use a calendar component to select dates

    • Display available rooms and prices

    • Implement payment gateway

    • Include user authentication and booking history

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - I got the job by winning third place at a women's hackathon which was held at hcl technologies. Practice building an app on your own and use routing and material ui components.

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 45 salaries
₹15.8 L/yr - ₹65.2 L/yr
42% more than the average Senior Data Scientist Salary in India
View more details

Ericsson Senior Data Scientist Reviews and Ratings

based on 6 reviews

4.1/5

Rating in categories

4.1

Skill development

5.0

Work-life balance

2.8

Salary

4.9

Job security

4.9

Company culture

3.1

Promotions

4.4

Work satisfaction

Explore 6 Reviews and Ratings
Senior Data Scientist

Bangalore / Bengaluru

5-10 Yrs

Not Disclosed

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