Reckitt Benckiser R&D Scientist Interview Questions and Answers

Q1. Project Related
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Q2. Challenges Faced
Ans. 
Handling large volumes of data, ensuring data quality, and interpreting complex data.
• Dealing with unstructured data from various sources

• Ensuring data quality and accuracy through data cleaning and preprocessing

• Interpreting complex data and deriving meaningful insights

• Implementing machine learning algorithms to analyze data

• Communicating findings to non-technical stakeholders
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Q3. Basic Stats Questions
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Q4. Ml Concepts and Basics of Deep Learning
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Q1. Resume projects
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Q2. Logistic regression
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Q1. ML questions- Logistic regression derivation
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Forecasting of products demands

Q1. ML questions and project discussion
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Q1. Describe about yourself and why you want to join us
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It has behavioural and ability to focus rounds where behavioural have several questions repeated in different forms and answers in different categories. Choose extreme ones, it shows your confidence and clarify

Q1. More about the projects
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Q2. What were the innovative ideas you thought
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Q3. How would you calculate impact of a project
Ans. 
Calculate impact of a project by analyzing key metrics and outcomes.
• Identify key metrics to measure impact such as revenue, cost savings, customer satisfaction, etc.

• Quantify the baseline performance before the project and compare it to the performance after the project.

• Use statistical analysis to determine the significance of the project's impact.

• Consider both short-term and long-term effects of the project.

• Seek feedba...read more
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Q1. How do you use your creativity and technical knowledge to solve problems at your work place?
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Data Science MCQ questions

Building a baseline ML model with EDA etc.

Q1. How do you analyse outliers?
Ans. 
Outliers can be analyzed using statistical methods like Z-score, IQR, or visualization techniques like box plots.
• Calculate Z-score and identify data points with Z-score greater than a certain threshold as outliers.

• Use Interquartile Range (IQR) to detect outliers by identifying data points outside 1.5 * IQR range.

• Visualize data using box plots to identify any data points that fall outside the whiskers.

• Consider domain kn...read more
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Q2. Tell me about a time when what you found did not match expectation with what you thought analysing the dataset.
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Q1. Why Unilever now?
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Q2. Where do you see yourself in 5 years?
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Some standard test and aptitude test everyone has to take before being shortlisted for itnerview

Q1. Name github commands

Ans. 

GitHub commands are used to interact with repositories on GitHub platform.

• git clone : Clone a repository to your local machine

• git add : Add a file to the staging area

• git commit -m 'commit message': Commit changes to the repository

• git push origin : Push changes to a remote repository

• git pull origin : Pull changes from a remote repository

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