Capital One is a well-established financial firm known for its unique and innovative approach to finance and banking. It holds a diverse and dynamic position within the financial industry. As of January 2024, Capital One ranks as the 9th largest bank in the U.S. by assets, holding a significant $468.8 billion.

Stepping into a financial firm like Capital One as a business analyst is no walk in the park. It requires strong technical skills such as data analysis, problem-solving, financial modeling, and critical thinking. As a Business Analyst at Capital One, you will explore various specialized areas within financial analysis, from credit risk to marketing to product development.

So, if you are thinking of joining this leading firm, this guide is for you. In this guide, we’ll walk you through the interview process, some commonly asked Capital One Business Analyst interview questions, and provide some valuable tips. Let’s get started!

TomTom is a global leader in navigation technology, known for revolutionizing the movement of people and goods with its pioneering mapping solutions. With a team of 3,700 passionate problem-solvers, TomTom is at the forefront of creating real-time, dynamic maps that open up new possibilities for car manufacturers, enterprises, and developers.

As a Data Scientist at TomTom, you'll design and prototype machine learning systems, work with large-scale road networks, and collaborate closely with software engineers. The role requires advanced technical skills including Python, Scala, Java, C++, SQL, and experience with Microsoft Azure Databricks, among others. Unique perks include a competitive compensation package, paid learning days, and the flexibility to work from various locations.

Thinking of joining TomTom? This guide will walk you through the interview process and key aspects of the Data Scientist role.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining TomTom as a Data Scientist. Whether you were contacted by a TomTom 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 TomTom 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 TomTom Data Scientist hiring manager stays 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 TomTom Data Scientist role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around TomTom’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 TomTom 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 TomTom.

Quick Tips For TomTom Data Scientist Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your TomTom interview include:

• Know Your TomTom Products: TomTom questions often rely heavily on situational scenarios with their products. Study TomTom’s breadth of products and understand how you would personally improve or test them.
• Be Data Driven: TomTom’s data science interviews assess how well you can provide business-driving insights with data science. Brush up on your knowledge of statistics and probability, given these questions can be some of the hardest to solve.
• Embody the Spirit: TomTom values innovation and a collaborative culture. Practice responding to behavioral questions with answers that touch on TomTom's core values.

To practice and prepare further, access the Interview Query guides.

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

• Write a query to get the average order value by gender. Given three tables representing customer transactions and customer attributes, write a query to get the average order value by gender. Round the answer to two decimal places.

• Write a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Find the index where the sum of the left half equals the right half in a list. Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no such index, return -1.

• Write a function sorting to sort a list of strings in ascending order. Given a list of strings, write a function sorting from scratch to sort the list in ascending alphabetical order. Do not use the built-in sorted function. Return the new sorted list.

• Write a query to find the earliest date each user played their third unique song. Given a table of song_plays and a table of users, write a query to extract the earliest date each user played their third unique song. If a user has listened to less than three unique songs, display their name with a NULL date and song name.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, describe the steps and considerations for building a predictive model to identify which merchants the company should target for acquisition when entering a new market.

• How would you determine customer service quality through the chat box for small businesses on Facebook Marketplace? Your team at Facebook focuses on helping small businesses increase sales through the Marketplace app. Explain how you would assess the quality of customer service interactions via the chat box for small businesses selling items to consumers.

• What business health metrics would you track on a dashboard for an e-commerce D2C sock business? As the person in charge of an e-commerce D2C business selling socks, list and explain the key business health metrics you would monitor on a company dashboard.

• Write a query to determine if user interactions on a website lead to higher purchasing volumes. Given three tables (users, transactions, and events), write a SQL query to analyze whether users who interact on the website (e.g., likes, comments) convert to purchasing at a higher volume than those who do not interact.

• How does random forest generate the forest and why use it over logistic regression? Explain the process of generating a forest in a random forest algorithm and discuss the advantages of using random forest over logistic regression.

• How do we deal with missing square footage data to construct a housing price model? You have 100K sold listings over the past three years for Seattle, but 20% are missing square footage data. Describe methods to handle this missing data to build an accurate housing price prediction model.

• How would you build a model to predict which merchants DoorDash should acquire in a new market? As a data scientist at DoorDash, outline the steps to create a model that predicts which merchants to target for acquisition when entering a new market.

• How do you detect and handle correlation between variables in linear regression? Describe methods to detect and manage correlation between variables in a linear regression model. Explain the consequences of ignoring such correlations.

• How would you design a model to detect potential bombs at a border crossing? Outline the design of a model to detect potential bombs at a border crossing, including the selection of inputs and outputs, accuracy measurement, and testing procedures.

• How many more samples are needed to decrease the margin of error from 3 to 0.3? Given a sample size (n) with a margin of error of 3, calculate the additional samples required to reduce the margin of error to 0.3.

• What is the mean and variance of the distribution of (2X - Y)? Given (X) and (Y) are independent random variables with normal distributions (X \sim \mathcal{N}(3, 4)) and (Y \sim \mathcal{N}(1, 4)), determine the mean and variance of (2X - Y).

• How do you calculate the sample size and power for an AB test? For an AB test with a test group and a control group:

• Explain how to calculate the necessary sample size for accurate measurement.
• If the sample size is sufficient, should the power increase or decrease to measure very small differences between the groups?

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

Q: What will I be doing as a Data Scientist at TomTom?

As a Data Scientist at TomTom, you'll conceptualize, design, and prototype machine learning systems for large-scale road networks and traffic flow parameters based on vehicle GPS, onboard sensors, and community data. You will design data structures and algorithms, prototype scalable data analysis algorithms in Microsoft Azure Databricks, collaborate with software engineers, mentor junior data scientists, and present research findings to stakeholders.

Q: What qualifications do I need for the Data Scientist position?

You need a Master’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field. You should have at least two years of experience with Agile software development methodologies and expertise in Python, Scala, Java, C++, and SQL. Also, experience with aerial RGB and infrared imagery, 3D point cloud processing, visualization techniques, and deploying infrastructure in Microsoft Azure using Terraform is required.

Q: What benefits does TomTom offer?

TomTom offers a competitive compensation package, a personal development budget, and paid leave for learning days. You also gain access to e-learning resources, have flexible work options, and get an allowance for home office setup. Additionally, there are enhanced parental leave options, paid leave for volunteer work, and access to events like Hackathons and DevDays. Plus, an inclusive global culture to look forward to!

Q: What is the application process like at TomTom?

After you apply, TomTom's recruitment team will screen your application thoroughly. They ensure a meaningful experience throughout the journey, with thorough follow-ups, assessments, interviews, and onboarding. To understand the detailed application process, refer to TomTom's hiring FAQs.

Q: What is the work culture like at TomTom?

TomTom values diversity and inclusivity, celebrating the uniqueness of each employee. You'll work with over 3,700 passionate problem-solvers from 80 nationalities. TomTom encourages creativity and offers opportunities to collaborate in a diverse, global community, fostering a supportive and innovative environment.

If you're excited about using your data science skills to shape the future of navigation and make the world a more connected place, the Data Scientist position at TomTom could be an incredible opportunity for you. At TomTom, you will be at the forefront of developing machine learning systems for large-scale road networks, traffic flow parameters, and more. Beyond a competitive compensation package, you'll have the opportunity to grow professionally with a personal development budget and paid learning days.

If you want more insights about the company, check out our main TomTom Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about TomTom’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every TomTom interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!