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MathCo Data Science Manager Interview Questions and Answers
MathCo Data Science Manager Interview Experiences
1 interview found
Anonymous
(1 Question)
- Q1. What is evaluated/assessed in technical round?
- Ans.
Technical round evaluates candidate's technical skills, problem-solving abilities, and knowledge in data science.
Coding skills - ability to write efficient code and solve problems
Data analysis skills - ability to manipulate and analyze data
Machine learning knowledge - understanding of algorithms and models
Problem-solving abilities - approach to solving complex problems
Communication skills - ability to explain technical...
(2 Questions)
- Q1. What are evaluated in Round 2
- Ans.
Round 2 evaluates technical skills, problem-solving abilities, communication skills, and cultural fit.
Technical skills related to data analysis, machine learning, statistics, and programming languages like Python or R
Problem-solving abilities through case studies, coding challenges, or real-world data analysis tasks
Communication skills in explaining complex concepts, collaborating with team members, and presenting find...
- Q2. Fitment round involves in understand of candidate's business acumen, stakeholder management and team management
(1 Question)
- Q1. What is evaluated in HR Round?
- Ans.
HR Round evaluates the candidate's fit for the company culture, communication skills, behavioral traits, and overall professionalism.
Fit for company culture
Communication skills
Behavioral traits
Professionalism
Top trending discussions
Interview questions from similar companies
Sayantan Ghosh
Interview Questionnaire
1 Question
- Q1. What friends think of you?
- Ans.
My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
Interview Preparation Tips
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.
Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.
College Name: NIT Durgapur
Interview Preparation Tips
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?
Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.
Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".
Data Scientist Interview Questions & Answers
Fractal Analytics
Bratati Datta Gupta
posted on 11 Dec 2024
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).
(1 Question)
- Q1. The technical round was divided in three phases - phase -1 : intro and professional projects They asked about the projects I have contributed in my full-time tenure. Then, asked me to pick any one of them...
I applied via Naukri.com and was interviewed in Apr 2022. There were 3 interview rounds.
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Jul 2022. There were 4 interview rounds.
Medium level of question are there in this section
Basic level of question are there in this section
(2 Questions)
- Q1. Q. What is joints? Q. What is linear search? Q. What is your hobby?
- Ans.
Joints are connections between bones that allow movement and provide support to the body.
Joints are found throughout the body, such as the knee, elbow, and shoulder.
They are made up of bones, cartilage, ligaments, and synovial fluid.
Joints enable various types of movements, including flexion, extension, rotation, and abduction.
Different types of joints include hinge joints, ball-and-socket joints, and pivot joints.
Join...
- Q2. What is joints and what is your hobby?
- Ans.
I'm not sure how joints relate to data science, but my hobby is playing guitar.
Joints can refer to the connection between two bones in the body or the way two things are connected or joined together.
Playing guitar is a hobby that helps me relax and unwind after a long day of working with data.
While seemingly unrelated to data science, playing an instrument can actually improve cognitive function and creativity, which c
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Sep 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. There is online test is totally on SQL please prepare for SQL. There are 3 rounds in which first online test based on sql then 2nd is technical round and 3rd Manager round. Technical round on sql and machi...
Interview Preparation Tips
I applied via LinkedIn
Interview Questionnaire
2 Questions
- Q1. Discussion on resume projects
- Q2. Questions on regularization, ensemble methods, variance vs bias
Interview Preparation Tips
Basic test with Data Structures, algorithms, SQL questions
(1 Question)
- Q1. Questions about basic ML Algorithms
Basic quants,lrdi and coding round
(1 Question)
- Q1. Basic questions on sql and python, past projects
(1 Question)
- Q1. Basic questions
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