
Leading company in the technology industry
Senior Data Scientist at Zillow
About the role
About the team
The Conversion and Core Modeling team builds the decision systems that connect customers with agents across Zillow’s marketplace. The team partners closely with Product, Engineering, Operations, and Applied Science to improve routing and allocation systems that drive marketplace performance, with a strong focus on transparency, fairness, and measurable business impact.
About the role
As a Senior Data Scientist, you will build and scale machine learning and decision systems that help match Zillow customers with trusted partners in our marketplace. You will work on high-impact problems involving routing, allocation, and model evaluation, and you will help improve how these systems perform in production while making them more transparent, reliable, and explainable for business decision-making at scale.
You Will Get To
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Build, improve, and productionize machine learning and optimization systems that support routing and allocation decisions across Zillow’s marketplace.
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Define success metrics, evaluate model and system performance, and support experimentation to improve business outcomes and operational quality.
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Partner with Product, Engineering, Operations, and Applied Science to frame problems, communicate tradeoffs, and align on decision approaches.
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Write and maintain production-quality Python and SQL code to support model development, deployment, monitoring, and diagnostics.
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Identify system limitations, unintended effects, and opportunities to improve fairness, reliability, and explainability in marketplace decision systems.
This role has been categorized as a Remote position. “Remote” employees 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. U.S. employees may live in any of the 50 United States, with limited exceptions.
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
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You have experience in applied science, data science, or a related quantitative field, including work on production systems that drive business decisions.
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You have hands-on experience building, evaluating, and supporting machine learning models in production,using Python and SQL.
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You bring strong statistical, mathematical, and analytical problem-solving skills, including comfort working with tradeoffs, constraints, and uncertainty.
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You can translate ambiguous business problems into clear technical approaches and operate independently in fast-moving environments.
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You communicate clearly with both technical and non-technical partners and can explain complex system behavior in practical terms.
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You have an advanced degree in a quantitative field, or equivalent practical experience in applied science, statistics, economics, computer science, operations research, or a related discipline.
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Experience with large-scale marketplace systems, including observability and monitoring is a plus.
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Experience with Bayesian modeling frameworks, including PyMC
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Experience using dbt or similar data modeling and management workflows
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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
At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.
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, gender identity or Veteran status. 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Required skills
Machine learning
Python
SQL
Optimization
Experimentation
Model evaluation
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About Zillow

Zillow
PublicZillow Group, Inc., or simply Zillow, is an American tech real-estate marketplace company that was founded in 2006 by co-executive chairmen Rich Barton and Lloyd Frink, former Microsoft executives and founders of Microsoft spin-off Expedia; Spencer Rascoff, a co-founder of Hotwire.com; David...
1,001-5,000
Employees
Seattle
Headquarters
$10.3B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
4.0
Compensation
3.5
Culture
3.8
Career
4.0
Management
2.5
65%
Recommend to a friend
Pros
Excellent benefits
Great work culture
Work-life balance
Cons
Weak management and leadership issues
Below-market compensation
Aggressive quotas and expectations
Salary Ranges
35 data points
Junior/L3
L6
Mid/L4
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · DATA SCIENTIST I
1 reports
$153,949
total per year
Base
$118,414
Stock
-
Bonus
-
$153,949
$153,949
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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