Getting ready for an Data Scientist interview at EY? The EY Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the EY Data Scientist interview.
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Can you describe a significant challenge you faced in a previous project, how you addressed it, and what the outcome was? Please provide specific details that demonstrate your problem-solving and analytical skills.
When discussing a significant challenge, be sure to outline the context clearly. For instance, I once faced a scenario where the dataset I was working with was incomplete, leading to potential inaccuracies in the analysis. To tackle this, I first communicated with stakeholders to understand the implications of the missing data. I then devised a strategy to use data imputation techniques and integrated feedback loops to improve the quality of the data collection processes. As a result, we not only completed the project on time but also established new protocols for future data collection, which improved accuracy by over 30%.
Can you provide an example of a successful team project you were part of? What role did you play, and how did you ensure effective collaboration with your team members?
In discussing teamwork, emphasize the importance of collaboration. For instance, I was part of a multidisciplinary team tasked with developing a predictive model for client analysis. My role was to lead the data preprocessing phase. I set regular check-ins to ensure alignment with other team members, facilitated brainstorming sessions to integrate different perspectives, and used collaborative tools for transparency. Ultimately, our cohesive effort led to a model that exceeded the client’s expectations, highlighting the power of teamwork in achieving our goals.
Describe a situation where you had to resolve a conflict or disagreement within your team. What steps did you take to ensure a positive outcome?
When narrating a conflict resolution, detail the situation. For instance, during a project, two team members had differing views on the analytical approach to take. I facilitated a meeting where both could present their viewpoints backed by data. We then collaboratively evaluated the pros and cons of each approach. This not only resolved the conflict but also led to a hybrid model that combined the strengths of both perspectives, showcasing my ability to mediate and promote constructive dialogue.
Typically, interviews at EY vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.
We've gathered this data from parsing thousands of interview experiences sourced from members.
Practice for the EY Data Scientist interview with these recently asked interview questions.