Pfizer Data Scientist Interview Questions and Answers

Q1. Nlp related stuff
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17 questions including mcq, case study, sql coding

Q1. 10 quiz about ML questions, case study
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Q1. Share details of your previous job.
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Q2. Why are you looking for a change?
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Q3. Tell me about yourself.
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House price prediction

Q1. About data, data science and Pharma domain
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Q1. On current project with which you are working.
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Q1. General discussion.
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Q1. Salary discussion.
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Q1. What are more common exps for NMR?
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Fundamental of Analytical techniques, Chemistry of wet analysis, Characterisation techniques, Quantitative and qualitative analysis, Fundamentals of Chromatography, Spectroscopy, Spectrometry l, QC, QA, RA, GLP, cGMP.

Q1. Chromatography, Spectroscopy, Spectrometry, Wet analysis, API, Formulation, Characterisation techniques and Fundamentals of analytical chemistry.
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Q1. Personal details and salary discussions.
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Q1. Introduce yourself
Ans. 
I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
• Background in statistics and machine learning

• Experience in data analysis and visualization

• Strong programming skills in languages like Python and R

• Ability to work with large datasets and extract meaningful insights

• Excellent communication and problem-solving skills
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Q2. Where do you see yourself in 5 years
Ans. 
In 5 years, I see myself leading a team of data scientists, working on cutting-edge projects, and making significant contributions to the field.
• Leading a team of data scientists

• Working on cutting-edge projects

• Making significant contributions to the field
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