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Data Scientist - job 1 of 2

About the team

Join our industry-leading Business Economics team bringing innovative analysis, creativity, and excellence to some of the biggest questions across Zillow. We partner closely with teams across the company to analyze and implement opportunities to drive incremental revenue and cost savings. We provide key insights from Zillow’s unparalleled living database of over 100 million homes, transactions, and users.

As a Data Scientist, you will work in an informal, fun, collaborative atmosphere with a dynamic team and will play a critical role in ensuring the financial success of Zillow.

About the role

Zillow is looking for a Data Scientist who has a passion for building novel analytical frameworks, models, and visualizations. We are always looking for ways to better measure our business and steer our lines of business towards profitability. 

You Will Get To: 

  • Discover insights in diverse data sets to contextualize the business as well as develop statistical models and techniques.

  • Apply your analytical toolkit to a host of problems ranging from impact analysis, performance attribution, segmentation, and pricing.

  • Measure the impact of housing market trends on business outcomes and financial performance.

  • Assist the business in optimizing policies through the design of experimental and observational interventions to measure impact.

  • Collaborate with other data scientists, applied scientists, and economists to translate business opportunities into well-defined technical problems and conduct cutting-edge applied research.

  • Develop clear data visualizations that crystallize the key messages from analyses.

  • Communicate complex statistical models and analyses clearly to wide audiences.

This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

  • An innovative problem solver that is passionate about conducting independent research and applying research methods to real-world problems.

  • Strong foundation in traditional econometric approaches, statistical methods, and/or modern machine learning techniques from schooling or industry experience.

  • Proficient in data cleaning, preprocessing, and feature engineering for statistical analysis.

  • Proficient in data visualization and data storytelling.

  • Strong coding skills, with experience in software development best practices and version control systems (e.g., Git).

  • Ability to clearly communicate complex concepts to diverse audiences.

Qualifications

  • A Bachelor’s or Master's degree in a quantitative field (e.g., mathematics, data science, economics, statistics, finance, engineering, analytics, or similar)

  • 1-2 years of experience with quantitative data analysis and complex problem solving

  • 1-2 years of experience sharing data insights and creating data visualizations with software like Tableau or similar

  • Proficiency in SQL

  • Proficiency in Python for data analysis and modeling

  • Experience with building, scheduling, and productionalizing ETL pipelines

Transferable Skills

Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Get to know us

Zillow is reimagining real estate to make it easier to unlock life’s next chapter. 

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality. 


Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a  fundamental commitment to Equity and Belonging. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Zillow

Join Zillow as a Data Scientist in Mexico City and become part of our exciting Business Economics team! If you thrive in a collaborative and innovative environment, this role is tailored for you. Here at Zillow, we tackle the biggest questions in real estate using our extensive living database of over 100 million homes and transactions. Your main responsibility will involve developing analytical frameworks and statistical models to unlock insights from our rich data sets. You will measure the impact of market trends on business outcomes and design experiments to optimize our policies. Collaborating with fellow data scientists and economists, you'll turn business opportunities into technical challenges and contribute to cutting-edge research. Daily, you'll use your skills in data cleaning, visualization, and statistical analysis to provide key insights that drive decisions across the company. This telework opportunity allows you to work from anywhere in Mexico, although occasional attendance at in-office events in Mexico City is welcomed. Zillow offers a competitive salary, benefits, and potential equity awards based on your performance and experience. If you hold a degree in a quantitative field and have a passion for problem-solving and data storytelling, we want to hear from you!

Frequently Asked Questions (FAQs) for Data Scientist Role at Zillow
What responsibilities does a Data Scientist at Zillow have?

As a Data Scientist at Zillow, you will analyze diverse data sets, apply statistical models, and translate business opportunities into technical problems. Your role also involves developing data visualizations and communicating complex analyses to a broad audience.

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What qualifications are needed for a Data Scientist position at Zillow?

To qualify for the Data Scientist role at Zillow, you should have a Bachelor's or Master's degree in a quantitative field, 1-2 years of experience in data analysis, and proficiency in SQL and Python, along with skills in data visualization using tools like Tableau.

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How does the remote work structure work for a Data Scientist at Zillow?

Zillow offers a flexible telework structure for the Data Scientist position, allowing you to work from anywhere in Mexico. Although remote, occasional in-office attendance in Mexico City is encouraged for team events.

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What tools and skills are required for a Data Scientist at Zillow?

A Data Scientist at Zillow should have strong coding skills, particularly in Python for data analysis and modeling. Familiarity with data cleaning, preprocessing, ETL pipelines, and version control systems like Git is also essential.

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What type of projects will a Data Scientist at Zillow work on?

In your role as a Data Scientist at Zillow, you'll work on various projects ranging from impact analysis and performance attribution to designing experiments and optimizing business policies based on housing market trends.

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Common Interview Questions for Data Scientist
Can you explain your experience with statistical modeling for data analysis?

When discussing your experience with statistical modeling, consider showcasing specific models you’ve developed or utilized, detailing the problems they solved and the impact they had on business outcomes.

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What methods do you use for data visualization?

In your answer, highlight the tools you’re proficient in, such as Tableau or Python libraries like Matplotlib, and discuss how you've effectively used visualization to communicate complex data insights to different audiences.

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How do you handle missing or corrupted data in your analysis?

Discuss your approach to data preprocessing, including techniques such as imputation, removal, or using algorithms that handle missing data. Provide examples of how you addressed real-life scenarios.

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Describe a time when you developed a data-driven solution.

When answering, explain the challenge you faced, how you approached the data analysis, what solutions you developed, and the results or impact it had on your team or organization.

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What is your experience with SQL and how have you applied it in your previous roles?

Discuss your proficiency in SQL, mentioning specific queries or data manipulations you've performed. Share instances where your SQL skills directly contributed to business insights or decisions.

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How do you stay updated with the latest trends in data science?

Share your strategies for continuous learning, such as following industry websites, taking online courses, attending conferences, or participating in relevant community forums.

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What do you think is the most challenging part of being a Data Scientist?

You might address the balancing act between technical work and communicating complex concepts. Highlight how you overcome these challenges by collaborating with interdisciplinary teams or adapting technical language for broader audiences.

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Can you provide an example of how you applied machine learning techniques in a previous project?

In your response, describe a project context, the machine learning techniques you implemented, the tools you used, and the outcomes of that application, showcasing your hands-on experience.

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How would you measure the success of a data-driven project?

Discuss the key performance indicators (KPIs) you would define for project success, the analysis methods you would use to assess outcomes, and how you would report findings to stakeholders.

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What role does teamwork play in the work of a Data Scientist?

Highlight the importance of teamwork in the data science process, such as collaborating with domain experts and sharing insights with other stakeholders to drive informed decision-making within the organization.

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Zillow is a leading American tech real-estate marketplace company founded in 2006. We provide information and services related to selling, buying, renting, and financing through our platform, accessible through our website and mobile app.

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BADGES
Badge ChangemakerBadge Diversity ChampionBadge Family FriendlyBadge Flexible CultureBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Customer-Centric
Mission Driven
Fast-Paced
Growth & Learning
Transparent & Candid
Diversity of Opinions
Work/Life Harmony
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Learning & Development
Fitness Stipend
401K Matching
Equity
Life insurance
Disability Insurance
WFH Reimbursements
Flex-Friendly
Paid Time-Off
Maternity Leave
Paternity Leave
Paid Holidays
Paid Volunteer Time
Sabbatical
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 11, 2025

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