The data scientist job interview: Questions to expect and questions to ask (free PDF)

Provided by: TechRepublic
Topic: Big Data
Format: PDF
Before you walk into your next interview for a data scientist job, be sure you prep with this ebook. It offers a list of questions interviewers may ask—and a list of questions you can ask them, to demonstrate your knowledge and business focus.

From the ebook:

Demand for data scientists continues to grow, and the job market is hot for those with the right skill set. Data science job candidates can expect a variety of technical questions and exercises that depend upon the position and the company. But outside of tech know-how, adequately describing your skills with communication, teamwork, and creative thinking is key.

“To assess if a candidate can be successful as a data scientist, I’m looking for a few things: baseline knowledge of the fundamentals, a capacity to think creatively and scientifically about real-world problems, exceptional communication about highly technical topics, and constant curiosity,” said Kevin Safford, chief data scientist for CognitOps.

Demonstrating that you have a strong understanding of the business at hand and how data can be used to reach business goals will also set you apart.

“In addition to many technical questions—knowing your algorithms, knowing your math—a great data scientist must know the business and be able to bring strong ideas to the table,” said Rick Saporta, head of data strategy and insights at The Farmer’s Dog. “When hiring, I would rather have one creative data scientist who has a strong understanding of our business, than a whole team of machine learning experts who will be in a constant ‘R&D’ mode.”

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