Infosys Data Scientist Interview Guide
Overview
Getting ready for an Data Scientist interview at Infosys? The Infosys Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
- Know what skills are necessary for Infosys Data Scientist roles.
- Gain insights into the Data Scientist interview process at Infosys.
- Practice real Infosys Data Scientist interview questions.
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 Infosys Data Scientist interview.
Infosys Data Scientist Salary
Average Base Salary
Cultural and Behavioral Questions
This feature is currently experimental, and we’re committed to improving it with your valuable feedback.Can you describe a challenging data science project you worked on? What obstacles did you encounter, and how did you overcome them?
When discussing a challenging data science project, focus on the specific difficulties you faced, such as data quality issues or technical constraints. Describe the steps you took to address these challenges, including any innovative solutions or collaboration with team members. For instance, if you faced incomplete data, explain how you implemented data imputation techniques or sourced additional data. Reflect on the project's outcome and what you learned about resilience and problem-solving in data science.
Describe a situation where you had to collaborate with a cross-functional team on a data science project. What was your role, and how did you ensure effective communication?
In collaborative projects, emphasize your role and how you facilitated communication among team members. Discuss specific strategies you used to bridge gaps, such as regular check-ins, using collaborative tools, or setting clear expectations. For instance, if you were working with software engineers, you might have organized joint meetings to align on technical requirements and project timelines, ensuring everyone was on the same page. Highlight the importance of teamwork in achieving project goals.
Tell me about a time when you had to deliver a data science project under a tight deadline. How did you prioritize tasks and manage your time?
When discussing time management under pressure, outline how you assessed project requirements and set priorities. Share specific techniques you used, such as creating a project timeline, breaking down tasks into manageable steps, and focusing on high-impact areas first. For example, if you had to deliver a predictive model quickly, you might have prioritized feature selection and model training while deferring less critical analyses. Reflect on the project's success and any lessons learned about time management.
Infosys Data Scientist Interview Process
Typically, interviews at Infosys 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.
Infosys Data Scientist Interview Questions
Practice for the Infosys Data Scientist interview with these recently asked interview questions.