CTG is a leading provider of digital transformation solutions dedicated to accelerating clients' project momentum and achieving desired IT and business outcomes. With operations across North America, South America, Western Europe, and India, CTG aims to be an indispensable partner and a preferred career destination for digital and technology experts.

In the Sr. Data Scientist role focused on Forecasting and ML Ops, you will deliver end-to-end analytics solutions, oversee ML Ops, maintain and upgrade models, and collaborate with cross-functional stakeholders to integrate solutions into business processes. Strong proficiency in advanced statistics, time series forecasting, machine-learning models, SQL, and Python are essential.

If you're aiming to join CTG, Interview Query is here to guide you through the interview process, provide commonly asked questions, and offer valuable tips. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining CTG as a Data Scientist specializing in Forecasting and ML Ops. Whether you were contacted by a CTG recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the CTG Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the CTG hiring manager may be present during the screening round to answer your queries about the role and the company itself. They may also engage in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Data Scientist role at CTG usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around CTG’s data systems, ETL pipelines, and SQL queries.

In the case of data scientist roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the CTG office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Data Scientist role at CTG.

Quick Tips For CTG Data Scientist Interviews

• Prepare for Detailed Technical Questions: Ensure you are well-versed in advanced statistics, time series forecasting, and machine learning models. Make sure you understand data wrangling, extraction, and normalization as these will be critical.
• Showcase Cross-functional Collaboration Skills: Be prepared to discuss any experience you have working with cross-functional teams and how you’ve integrated data science solutions into business processes.
• Highlight Competency in Tools and Frameworks: Brush up on your proficiency in SQL, Python, and knowledge of big data frameworks like Spark. Familiarity with tools such as Power BI, Tableau, Azure, and Databricks will be a plus.

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

• How would you measure the effectiveness of extra pay for delivery drivers during peak hours? You work at a food delivery company. How would you measure the effectiveness of giving extra pay to delivery drivers during peak hours to meet consumer demand?

• Create a function rain_days to calculate the probability of rain on the nth day after today. The probability that it will rain tomorrow depends on whether it rained today and yesterday. If it rained both days, there's a 20% chance it will rain tomorrow. If it rained one of the days, there's a 60% chance. If it rained neither day, there's a 20% chance. Given it rained today and yesterday, calculate the probability it will rain on the nth day after today.

• What are the assumptions of linear regression? List and explain the key assumptions that must be met for linear regression analysis to be valid.

What is the average salary for a Data Scientist at CTG?

Q: What does the role of Sr. Data Scientist at CTG entail?

The Sr. Data Scientist role at CTG involves delivering end-to-end analytics and data science solutions. This includes managing ML Ops, retraining and upgrading models, and collaborating with stakeholders. You will also be evaluating and developing data science best practices.

Q: What skills are required for the Sr. Data Scientist position at CTG?

Candidates should have a deep understanding of advanced statistics, time series forecasting, and machine learning models. Proficiency in SQL and Python, experience with big data frameworks like Spark, and familiarity with business intelligence tools such as Power BI or Tableau are essential. Strong communication, project management skills, and the ability to design suitable technical solutions are also important.

Q: What is the interview process like at CTG for a Data Scientist position?

The interview process at CTG typically includes a recruiter call, technical interviews, and discussions with cross-functional stakeholders. The process aims to assess your technical skills, problem-solving abilities, and how well you can integrate data science solutions into business processes.

Q: What makes CTG a great place to work?

CTG is recognized as a Great Place to Work-certified company due to its strong culture, values, and emphasis on employee development. The company fosters an inclusive and diverse workplace, offering equal employment opportunities and promoting occupational equality.

Q: How can I prepare for the CTG Sr. Data Scientist interview?

Prepare by thoroughly understanding the job requirements and expected duties. Practice your technical skills and be ready to explain your past experiences in data science roles. Use Interview Query to practice potential interview questions and review relevant technical concepts.

Get ready to dive into an exciting opportunity at CTG, a company renowned for its contributions to digital transformation and IT solutions. Our Sr. Data Scientist role in Forecasting and ML Ops in Pleasanton, CA, is looking for someone who can lead end-to-end data science projects, engage with cross-functional stakeholders, and maintain state-of-the-art machine learning models. This position calls for a talented professional skilled in advanced statistics, machine learning, and data management, who can deliver production-grade code and navigate complex business requirements.

Curious to know more about this position and how to prepare effectively? Check out our main CTG Interview Guide, where we cover key interview questions that you might encounter. At Interview Query, we equip you with the insights, confidence, and strategic guidance to ace your CTG Data Scientist interview. Explore all our company interview guides for comprehensive preparation tips.

Good luck with your interview—CTG is eager to have someone like you on board!