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Data Science Interview Questions

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10,884 data science interview questions shared by candidates

Standard interview questions: Name an instance where you exhibited teamwork. What was a time when you experienced conflict at a task and how did you overcome it? What experience do you have working with x,y,z?
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Social Science Research Analyst

Interviewed at US Department of Health and Human Services

3.7★
Oct 23, 2018

Standard interview questions: Name an instance where you exhibited teamwork. What was a time when you experienced conflict at a task and how did you overcome it? What experience do you have working with x,y,z?

Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation Breadth of skills and experience in machine learning diverse types of data, diverse data sources, dfferent types of learning models, diverse learning settings Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services is valued Demonstrated ability to propose novel solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context Strong analytical, written, and verbal communication skills
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Data Science

Interviewed at S2 Grupo

3.5★
Jan 12, 2019

Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation Breadth of skills and experience in machine learning diverse types of data, diverse data sources, dfferent types of learning models, diverse learning settings Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice Experience and knowledge in services domains such as business process outsourcing systems, transportation systems, healthcare systems and financial services is valued Demonstrated ability to propose novel solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world context Strong analytical, written, and verbal communication skills

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