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Boston Scientific Senior Data Analyst Interview Questions and Answers

Updated 22 May 2021

Boston Scientific Senior Data Analyst Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Nov 2020. There were 5 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. About my role and responsibilities?
  • Q2. Area of expertise?
  • Q3. My background?
  • Q4. Focus on professional, less personal.

Interview Preparation Tips

Interview preparation tips for other job seekers - What I learnt over the year, always pratice in what to ans and how? Give positive response and stay true as much as you can.most of the question asked from the current role, so if you true to your self you will get it through. Good luck!!

Interview questions from similar companies

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

I applied via Campus Placement and was interviewed in Jul 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

It was basic aptitude but it was online

Round 2 - Technical 

(1 Question)

  • Q1. Write python code for bizzbuss for prime or not prime\
  • Ans. 

    Python code for determining if a number is prime or not and applying bizzbuzz logic.

    • Write a function to check if a number is prime or not

    • Iterate through a range of numbers and apply bizzbuzz logic

    • Return 'prime' if the number is prime, 'bizz' if divisible by 3, 'buzz' if divisible by 5, and 'bizzbuzz' if divisible by both 3 and 5

  • Answered by AI

Skills evaluated in this interview

I applied via Recruitment Consulltant and was interviewed in 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 - Technical 

(2 Questions)

  • Q1. Random forest splitting mechanisms details
  • Ans. 

    Random forest uses decision trees to split data into subsets based on feature importance.

    • Random forest builds multiple decision trees and selects the best split based on feature importance.

    • Each decision tree splits data into subsets based on a randomly selected subset of features.

    • The best split is determined by minimizing impurity or maximizing information gain.

    • Random forest can handle missing values and outliers.

    • Rando...

  • Answered by AI
  • Q2. ResNet architecture and skip connection related questions
Round 3 - Technical 

(2 Questions)

  • Q1. OCR related bounding box detection from image
  • Q2. Deep learning based questions and details
Round 4 - HR 

(2 Questions)

  • Q1. Salary discussion, current salary and expected
  • Q2. About Optum, why you want to join

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through data science basics and python coding. Prepare deep learning Pretrained architecture as well.

Skills evaluated in this interview

Data Analyst Interview Questions & Answers

R1 RCM user image Kritika Srivastava

posted on 18 Dec 2021

I applied via LinkedIn and was interviewed in Jun 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Questions was common like brief about Self.
  • Q2. What do you know about R1RCM and the role you applied for?

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare a speech about yourself for introduction and learn about company.

I applied via Referral and was interviewed in Jul 2021. There were 6 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Explain univariate, bivariate and multivariate analysis
  • Ans. 

    Univariate analysis deals with one variable, bivariate analysis deals with two variables, and multivariate analysis deals with more than two variables.

    • Univariate analysis involves examining the distribution of a single variable, such as calculating mean, median, mode, and standard deviation.

    • Bivariate analysis involves examining the relationship between two variables, such as correlation and regression analysis.

    • Multivar...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on technical knowledge and communication skills.

I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest

    • Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf

    • ROC curve is a graphical representation of...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - My advice would be to search on Google regarding "100 data science interview questions" or something like it, and as you go through each question and its answer, just search the Wikipedia or Google for each concept for a little more depth. As for Python coding questions, most questions in such interviews are asked only about the Pandas library of Python. So try to study how to use Pandas to manipulate data. A good reference is the Python For Data Analysis book by Wes McKinney, whose free PDF is most probably available online on Google.

Skills evaluated in this interview

I applied via Referral and was interviewed before May 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Tell me about RCM cycle
  • Q2. What is your previous experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare about RCM cycle and medical billing

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