数据科学家，信任与安全 - 租赁
Data Scientist, Trust & Safety - Rentals
关于团队
Zillow 的数据科学团队将复杂的数据转化为洞察、模型和产品，帮助业务做出更明智的决策。作为我们更广泛的数据分析与洞察组织的一部分，该团队与产品、工程和业务领导者紧密合作，解决有意义的问题，提升数据质量和可用性，并构建可扩展的解决方案，为客户和员工创造价值。我们是一个协作、好奇的团队，重视深思熟虑的实验、持续学习，并负责任地使用数据推动 Zillow 前进。
关于职位
数据科学专员 II 运用高级分析方法和机器学习技术，解决中等复杂度的业务问题，交付可扩展的数据产品，并生成支持 Zillow 决策的洞察。该职位与跨职能合作伙伴协作，将模糊的问题转化为结构化的分析，构建和维护生产级模型，并持续提升 Zillow 数据资产的质量、可用性和影响力。
你将参与
- 在经理指导下，主导设计、开发和部署端到端的分析和机器学习解决方案，以解决中等复杂度的业务问题和客户用例。
- 与产品、工程和业务利益相关者合作，将模糊的问题转化为可测试的假设，定义成功指标，并将需求转化为稳健的分析或建模方法。
- 使用现代数据和 ML 工具构建、验证和维护可扩展的数据管道、特征和模型，确保在生产环境中的可靠性、可复现性和性能。
- 分析大型复杂数据集，发现趋势、驱动因素和机会，并向技术和非技术受众清晰传达发现和建议。
- 应用良好的实验和评估实践（例如 A/B 测试、回测、错误分析）来衡量影响，比较替代方案，并指导模型和数据产品的迭代优化。
- 为 Zillow 数据科学社区内的数据质量、模型治理和数据与 AI 的负责任使用，贡献共享标准、文档和最佳实践。
该职位被归类为远程岗位。“远程”员工没有固定的公司办公场所，而是从其选择的物理地点工作，该地点必须
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About the team
The Data Science team at Zillow turns complex data into insights, models, and products that help power smarter decisions across the business. As part of our broader Data Analytics and Insights organization, this team partners closely with product, engineering, and business leaders to solve meaningful problems, improve the quality and usability of our data, and build scalable solutions that create impact for customers and employees alike. We’re a collaborative, curious group that values thoughtful experimentation, continuous learning, and using data responsibly to move Zillow forward.About the role
The Specialist II, Data Science applies advanced analytical methods and machine learning techniques to solve moderately complex business problems, deliver scalable data products, and generate insights that inform decision-making across Zillow. This role collaborates with cross-functional partners to translate ambiguous questions into structured analyses, build and maintain production-quality models, and continuously improve the quality, usability, and impact of Zillow’s data assets.
You will get to
- With guidance from your manager, lead the design, development, and deployment of end-to-end analytical and machine learning solutions that address moderately complex business problems and customer use cases.
- Partner with product, engineering, and business stakeholders to frame ambiguous questions into testable hypotheses, define success metrics, and translate requirements into robust analytical or modeling approaches.
- Build, validate, and maintain scalable data pipelines, features, and models using modern data and ML tooling, ensuring reliability, reproducibility, and performance in production environments.
- Analyze large, complex datasets to uncover trends, drivers, and opportunities, and clearly communicate findings and recommendations to technical and non-technical audiences.
- Apply sound experimentation and evaluation practices (e.g., A/B testing, backtesting, error analysis) to measure impact, compare alternatives, and guide iteration on models and data products.
- Contribute to shared standards, documentation, and best practices for data quality, model governance, and responsible use of data and AI within the Data Science community at Zillow.
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 California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $125,900.00 - $201,100.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $119,600.00 - $191,000.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are
- Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
- 5+ years of experience applying data science, advanced analytics, or machine learning in a professional setting.
- Experience designing and implementing end-to-end analytical or ML solutions, including data preparation, feature engineering, model development, validation, and operationalization.
- Experience working with large datasets and modern data ecosystems (e.g., distributed data processing, cloud-based data platforms) to develop insights and data products that support business decisions.
- Experience collaborating with cross-functional partners to understand requirements, prioritize work, and deliver measurable outcomes using data and analytics.
- Or an equivalent combination of education and experience.
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® 2025list, 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.
Originally posted on Himalayas