CTG Data Scientist Interview Guide

CTG - Job Interview Guide Overview for Data Scientist Position

CTG is a prominent provider of digital transformation solutions and services, propelling clients toward achieving their IT and business objectives with accelerated momentum. With a footprint in North America, South America, Western Europe, and India, CTG seeks highly skilled Data Scientists to deliver end-to-end analytics and data science solutions comprising forecasting and ML Ops.

What We Are Looking For

CTG is searching for candidates with a strong foundation in advanced statistics, time series forecasting, machine learning models, data pipeline construction, and proficiency in SQL and Python. Additionally, experience with Azure, Databricks, business intelligence tools, and a keen ability to convey insights are highly valued. A Bachelor's or Master's degree in relevant quantitative disciplines and 5+ years of data science experience are required.

Interview Process

• Initial Screening
• Technical Assessment
• HR Interview
• Final Interview

Topics of Interest

• Advanced Statistics
• Machine Learning Models
• Time Series Forecasting
• Data Management
• Industrialized Data Pipelines
• Business Intelligence Tools

Salary Ranges and Job Availability

We provide competitive salaries and benefits, detailed further in the guide.

What's Inside This Guide

• Detailed Interview Process
• In-depth Topics for Preparation
• Salary and Job Openings Information

Explore this guide to stand out in your application for a Data Scientist position at CTG!

Typically, interviews at CTG vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

Submitting Your Application

The first step is to submit a comprehensive application that clearly reflects your expertise and interest in joining CTG as a Sr. Data Scientist specializing in Forecasting and ML Ops. Whether you were approached by a CTG recruiter or are proactively applying, carefully review the job description and tailor your CV to highlight your skills and experiences that match the prerequisites of the role.

Tailoring your CV may include using specific keywords that the hiring manager might look for and crafting a well-focused cover letter. Make sure to emphasize your skills in machine-learning models, data management, and experience with tools like SQL, Python, and BI tools.

Recruiter/Hiring Manager Call Screening

If your CV is shortlisted, a recruiter from the CTG Talent Acquisition Team will contact you to verify key details about your experiences and skill set. Behavioral questions may also be asked during the screening process.

In some cases, the hiring manager may join the screening call to address any questions you may have about the role and the company itself. They might also ask surface-level technical and behavioral questions to better understand your fit for the position.

The recruiter call typically lasts about 30 minutes.

Technical Virtual Interview

Upon successfully passing the recruiter round, you will be invited to a technical screening round. This is usually conducted virtually via video conference and screen sharing. Questions in this 1-hour interview may focus on advanced statistics, time series forecasting, machine-learning models, and data management techniques.

For the Sr. Data Scientist role, be prepared for questions about your experience in creating and managing industrialized data pipelines, proficiency in SQL and Python, and your familiarity with tools like Azure and Databricks. Additionally, your understanding of design and architecture principles, and your ability to apply these in a business context, may be evaluated.

Depending on the seniority of the position, you may also receive a take-home assignment focusing on real-world problems involving data science solutions.

Onsite Interview Rounds

If you pass the technical virtual interview, you will proceed to onsite interview rounds. These rounds are usually a full day at the CTG office and include multiple interviews with different team members.

Your expertise will be evaluated across various areas, such as advanced debugging, the creation and management of ML Ops pipelines, and your ability to deliver production-grade code. Be prepared to discuss your experience with standard SDLC processes, DevOps practices, and tools like GitHub/SVN.

You may also present your approach to past projects, focusing on your collaboration with cross-functional stakeholders and your ability to integrate data science solutions into business processes to deliver value. The presentation is an opportunity to demonstrate your communication and storytelling skills, as well as your technical and project management capabilities.

Final Assessment and Offer

After successfully navigating the onsite interview rounds, a final evaluation will be conducted to compare you against other final candidates. If you are selected, a CTG representative will contact you with an offer and discuss next steps, including onboarding and any additional information required.

Feel free to reach out to the recruiter if you have any questions during this entire process. CTG is committed to ensuring a smooth and transparent hiring experience for all applicants.

Practice for the CTG Data Scientist interview with these recently asked interview questions.