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!

Geli, a subsidiary of Hanwha Q CELLS, excels in providing innovative software solutions for energy storage and microgrid systems. They boast a versatile platform empowering developers, financiers, and operators to deploy advanced energy projects.

As a Data Scientist at Geli, you will lead the development of time series forecasting models for solar and energy consumption, using your expertise in Python and machine learning. This role not only encompasses data analysis but also offers you the opportunity to shape Geli's technological trajectory. Available as a remote or hybrid job, it grants you the flexibility to work from anywhere, preferred in Pacific Time. The ideal candidate is passionate about renewable energy and eager to make a significant impact in this domain. Join Geli and help drive the "Internet of Energy" vision.

Explore more about the interview process and commonly asked questions on Interview Query to get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Geli as a data scientist. Whether you were contacted by a Geli 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 is among the shortlisted few, a recruiter from Geli's 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.

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 Geli data scientist role usually is conducted virtually, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Geli’s data systems, ETL pipelines, and Python coding skills.

In some cases, take-home assignments regarding time series forecasting, energy consumption models, and data analytics are incorporated. Apart from these, your proficiency with hypothesis testing, probability distributions, and machine learning techniques will also be assessed during the round.

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, based on the role, will be conducted during your day at the Geli office or virtually. Your technical prowess, including programming and machine learning modeling capabilities, will be thoroughly evaluated during 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 Geli.

Quick Tips For Geli 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 Geli interview include:

• Master Time Series Analysis: Geli places a strong emphasis on time series forecasting models for solar and energy consumption. Make sure to review LSTM, ARIMA, and other relevant algorithms.
• Understand Renewable Energy Trends: Geli's vision revolves around renewable energy solutions. Familiarize yourself with the latest trends and technologies in energy storage and microgrid systems.
• Be Collaborative: Geli values a diverse work environment and collaborative decision-making. Practice responding to behavioral questions with examples that reflect teamwork and problem-solving in diverse settings.

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

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Create 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.

• Develop a function precision_recall to calculate precision and recall metrics. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. You are given a target value to search. If the value is in the array, return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

• Why might job applications be decreasing while job postings remain constant? You observe that the number of job postings per day has remained stable, but the number of applicants has been decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common issues in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Based on this outcome, determine if the coin is fair.

• Write a function to calculate sample variance from a list of integers. Create a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places.

• Would you trust the results of an A/B test with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result trustworthy or suspect something fishy?

• How to find the median in a list with more than 50% repeating integers in O(1) time and space? Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space.

• What are the drawbacks of the given student test score datasets, and how would you reformat them? You have data on student test scores in two different layouts. Identify the drawbacks of these formats, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, and how would you assess its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain the process by which a random forest generates its ensemble of trees. Additionally, discuss the advantages of using random forest over logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm, and discuss the tradeoffs between the two.

• How would you justify using a neural network for a business problem and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of the model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier for emails? You have built a V1 of a spam classifier for emails. What metrics would you use to evaluate the model's accuracy and validity?

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

Q: What is Geli and what does the company do?

Geli, or Growing Energy Labs, Inc., is a wholly owned subsidiary of Hanwha Q CELLS. Geli provides software and business solutions for designing, automating, and managing energy storage and microgrid systems, enabling advanced energy projects through a hardware-agnostic software platform.

Q: What is the vision of Geli?

Geli envisions a world where reliance on non-renewable power is reduced, and electricity is sourced locally, making the best use of solar, wind, and battery storage. This vision is referred to as the "Internet of Energy" (IoEn).

Q: What are the primary responsibilities of the Data Scientist position at Geli?

You will lead the development of time series forecasting algorithms for solar and energy consumption, prototype new algorithms, benchmark performance, integrate new algorithms into production, and collaborate with the team to achieve economic objectives through forecasts.

Q: What are the minimum qualifications required for the Data Scientist role at Geli?

Applicants should have a BS or higher degree with 2+ years of relevant experience, knowledge of machine learning algorithms, experience in time series analysis and forecasting, advanced Python skills, and software design experience to produce clean, maintainable code.

Q: What are the benefits of working at Geli?

Working at Geli offers competitive salaries, 401K with company matching, medical/dental/vision/life insurance, a flexible vacation policy, commuter reimbursement, and flexible work-from-home opportunities. The company also offers a casual, professional working environment with significant opportunities for impact and leadership.

If you're passionate about advancing renewable energy and have the skills to drive technological innovation, Geli offers an exciting opportunity to make a tangible impact. At Geli, a subsidiary of Hanwha Q CELLS, you’ll work at the forefront of energy storage and microgrid systems, developing cutting-edge software that transforms how we harness and utilize renewable energy. Join us to not only grow your career in a dynamic and supportive work environment but also contribute to a cleaner, more sustainable planet.

To help you prepare for the interview and maximize your chances of success, check out our main Geli Interview Guide on Interview Query, where we cover various potential questions and offer insights into different roles. At Interview Query, we provide a comprehensive toolkit that empowers you with the knowledge, confidence, and strategic guidance to excel in every interview challenge.

Good luck with your interview!