Analytical Scientist Interview Questions

363 analytical scientist interview questions shared by candidates

Please describe an experience where you were required to work cross-functionally with multiple departments (ex: R&D vs. Manufacturing vs. Validation vs. Quality Assurance) to achieve a goal or deliverable. What was your role and how did you help the team achieve success?
Aug 3, 2017

Please describe an experience where you were required to work cross-functionally with multiple departments (ex: R&D vs. Manufacturing vs. Validation vs. Quality Assurance) to achieve a goal or deliverable. What was your role and how did you help the team achieve success?

- HM Phone Screen (45 mins): Past experience, skillset and role alignment - Technical Interview (60 mins): Live coding SQL, experiment case study and Python (pandas). Slightly open-ended. SQL is focused on lead generation to signup time/conversion, and followup case study and Python is on designing and analyzing experiment to compare signup conversion rates. - Onsite, 4 rounds: - XFN Partnership (60 mins): Worked through hypothetical Gusto new product launch case study with a PM. - Technical (60 mins): Walk through code of a previous DS project to describe procedure and code up improvements to a predictive linear model. - Behavorial (30 mins): Typical behavioral and culture fit interview. - Technical Case Study (45 mins): Data case study that ties in technical and ethical aspects of fraud prediction that may use a discriminating variable.
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Data Scientist, Product Analytics

Interviewed at Gusto

3
Sep 28, 2023

- HM Phone Screen (45 mins): Past experience, skillset and role alignment - Technical Interview (60 mins): Live coding SQL, experiment case study and Python (pandas). Slightly open-ended. SQL is focused on lead generation to signup time/conversion, and followup case study and Python is on designing and analyzing experiment to compare signup conversion rates. - Onsite, 4 rounds: - XFN Partnership (60 mins): Worked through hypothetical Gusto new product launch case study with a PM. - Technical (60 mins): Walk through code of a previous DS project to describe procedure and code up improvements to a predictive linear model. - Behavorial (30 mins): Typical behavioral and culture fit interview. - Technical Case Study (45 mins): Data case study that ties in technical and ethical aspects of fraud prediction that may use a discriminating variable.

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