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Housing.Com Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

Who we are…? About REA India Pte. Ltd.:REA India is a subsidiary of REA Group Ltd. (ASX: REA), a leading digital real estate business headquartered in Melbourne, Australia, and part of the NewsCorp family. REA India owns Housing.com, the country’s leading real estate technology platform. With a vision to change the way India experiences property, the platform helps consumers throughout their buying, renting, and selling journey. It also offers a robust suite of Self services—such as smart listing tools, digital assistance—empowering home seekers and owners to manage their property needs with ease and online rent payment. These offerings enhance convenience, improve listing visibility, and enable direct engagement for both property owners and seekers. For businesses, Housing.com offers advertising and listing products for developers and agents, as well as exclusive sales and marketing solutions. It also offers Housing Studio, a suite of innovative AR&VR content to drive better engagement. REA India operates with a team of 1200+ professionals across 30+ offices nationwide, with its corporate headquarters in Gurugram, Haryana. Our CultureCulture forms the core of our foundation and our effort towards creating an engaging workplace that has resulted in REA India being ranked 5th among the coveted list of India’s Best 100 Companies to Work For in 2024 by the Great Place to Work Institute®. REA India was also ranked among Top 5 workplaces list in 2023, the Top 25 workplaces list in 2022 and 2021, and the Top 50 workplaces list in 2019. In addition, REA India was also recognized as Best Workplace™ in Building a Culture of Innovation by All in 2025, 2024 & 2023 and India’s Best Workplaces™ in Retail (e-commerce category) for the fifth time in 2025. REA India once again made it to the Top 15 Best Workplaces in Asia for 2024, marking its second consecutive appearance, after ranking 4th in 2023, 55th in 2022, and 48th in 2021. Additionally, REA India has been recognized twice in a row among the Top 50 Best Workplaces™ for Women in India (2024, 2023, and 2021) and earned a spot among India’s Top 10 Best Workplaces for Millennials List for the second consecutive year by Great Place to Work®. At REA India, we believe in creating a home for our people, where they feel a sense of belonging and purpose. By fostering a culture of inclusion and continuous learning and growth, every team member has the opportunity to thrive, embrace the spirit of being part of a global family, while contributing to revolutionize the way India experiences property. When you come to REA India, you truly COME HOME! REA India (Housing.com) is an equal opportunity employer and welcomes all qualified individuals to apply for employment. We are committed to creating an environment that is free from discrimination, harassment, and any other form of unlawful behaviour. We value diversity and inclusion and do not discriminate against our people or applicants for employment based on age, color, gender, marital status, caste, religion, race, ethnic group, nationality, religious or political conviction, sexual orientation, gender identity, pregnancy, family responsibility, or disability or any other legally protected status. We firmly strive to eliminate any barriers that may impede equal opportunities while also recognizing that specific job roles may require appointees to possess the necessary qualifications, skills, abilities to perform essential functions of the position effectively. What does this role hold for you...?? ● Doing research and bringing innovations to develop next generation solutions in corefunctional areas related to NLP, Speech Assessment (including Indian languages), Image.● Processing, PriceEstimator, Digital Marketing, Customer Relationship Management(CRM), Campaign Management & Data Insights etc.● Provide technical thought leadership, coaching and mentorship in the field of data sciencein working with engineering and other cross functional teams.● Evolve the approach for the application of machine learning/deep learning to existingprogram and project disciplines.● Help establish standards in machine learning and statistical evaluation to ensureconsistency in quality across projects and teams and identify relevant process efficiencies. Apply if you have... ● A graduation/post-graduation degree in computer science/Mathematics/Statistics (IITs,NITs and other Tier-I colleges preferred).● Experience with one or more of ML frameworks such as scikit-learn, NLTK, NumPy,Pandas, Keras, TensorFlow, Theano and other Cognitive Tools.● 5-8 years of strong hands-on experience in one or more of Artificial Intelligence (AI).● Machine Learning (ML), NLP, Deep Learning, Image Processing, Computer Vision and● Neural Networks.● Worked on one or more of Deep Learning Architectures such as CNN, RNN, LSTM or anyof their variants.● Experience in Decision Trees, Random Forests, Gradient Boosting, XGBoost. (desirable)● Coding skills in Python. (mandatory)● Fluency with various techniques in ML such as regression, classification, and clusteranalysis.● Experience with large data sets and distributed computing (Hive/Hadoop/Spark).(desirable)

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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