远程工作雷达

数据科学家

Data Scientist

AI限定地区(需当地身份)
公司Zillow Group
薪资$125,900 - $201,100/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于团队
Zillow Group 的业务数据团队是公司致力于整合一套改进的 B2B 代理软件和广告产品的下一步举措,旨在为客户提供支持,为合作伙伴、他们的客户以及整个房地产行业带来价值。

Zillow 已构建并收购了一系列市场领先的工具,用于代理效率提升、房源媒体、看房协调、交易管理和分析解决方案。我们丰富的产品和服务建立在技术创新之上,旨在为所有用户提供更高的效率。

关于职位
业务数据团队中的合作伙伴分析团队正在招聘一名数据科学家,负责引领分析工作,以发现洞察力,推动我们产品组合中的更好业务决策和客户体验。

你将负责
· 独立地规划并完成端到端的数据科学项目,从问题定义到模型开发、验证和生产化
· 构建和维护行业表现和客户细分模型,应用适当的技术(如聚类、回归、树形模型),并确保它们稳健、可解释且可操作
· 与数据工程和机器学习工程团队合作,将模型部署并维护在生产环境中,包括特征开发、批量/实时评分,以及随时间监控模型性能
· 设计和分析实验和观察性研究(A/B 测试、因果推断),以评估产品功能和业务计划
· 将模糊的业务问题转化为明确的分析方法,选择合适的方法论和成功指标
· 向领导层提供数据驱动的建议,清晰地传达权衡、假设和影响
· 与跨职能团队(包括 Follow Up Boss、Preferred 和 zProto)协作,对齐目标,定义 KPI,并交付整合的洞察
· 贡献可扩展的数据资产(干净的数据集、指标定义、仪表盘),以支持自助式分析

范围与影响
· 负责具有明确业务影响的中等复杂度问题领域,独立交付解决方案
· 在其直接领域内影响决策,并通过协作对相邻领域做出贡献
· 平衡速度与严谨性,在建模、实验和分析中做出合理的权衡
· 开始塑造团队标准,改进组织内部数据科学工作的执行方式

该职位需要

查看英文原文

About the team
Zillow Group’s Business Data organization represents the next step forward in the company's dedication to integrate an improved set of B2B agent software & advertising products for customers and partners, their clients, and the real estate industry as a whole.

Zillow has built and acquired a portfolio of market-leading products for agent productivity, listing media, showing coordination, transaction management and analytics solutions. Our wide array of products and services are built on technological innovations crafted to bring efficiencies to all users.About the role
The Partner Analytics team within Business Data is hiring a Data Scientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.
What you'll do

  • Independently scope and deliver end-to-end data science projects, from problem framing through model development, validation, and productionization
  • Build and maintain industry performance and customer segmentation models, applying appropriate techniques (e.g., clustering, regression, tree-based models) and ensuring they are robust, interpretable, and actionable
  • Partner with Data Engineering and ML Engineering to deploy and maintain models in production, including feature development, batch/real-time scoring, and monitoring model performance over time
  • Design and analyze experiments and observational studies (A/B testing, causal inference) to evaluate product features and business initiatives
  • Translate ambiguous business problems into well-defined analytical approaches, selecting appropriate methodologies and success metrics
  • Provide data-driven recommendations to leaders, clearly communicating trade-offs, assumptions, and impact
  • Collaborate with cross-functional teams including Follow Up Boss, Preferred, and zProto align on goals, define KPIs, and deliver integrated insights
  • Contribute to scalable data assets (clean datasets, metrics definitions, dashboards) that enable self-service analytics

Scope & impatc

  • Owns moderately complex problem areas with clear business impact, delivering solutions with limited oversight
  • Influences decision-making within their immediate domain and contributes to adjacent areas through collaboration
  • Balances speed and rigor, making sound trade-offs in modeling, experimentation, and analysis
  • Begins shaping team standards and improving how data science work is executed within the org

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

  • 3–5+ years of experience in data science, applied machine learning, or a related field
  • Strong foundation in statistics, machine learning, and experimentation, with demonstrated ability to apply methods to real-world business problems
  • Proficient in Python (pandas, scikit-learn, PySpark) and SQL; comfortable working with large datasets in modern data platforms (e.g., Snowflake, Spark)
  • Experience building performance models and data products
  • Familiarity with production workflows (e.g., Airflow, dbt, model deployment patterns, monitoring)
  • Ability to work independently in ambiguous spaces while maintaining alignment with stakeholders
  • Strong communication skills, with the ability to tailor insights to technical and non-technical audiences
  • Experience collaborating across multiple product and business teams and translating outputs into business insights

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 people 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 reshaping an industry and helping more people make home a reality.

How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise.

Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 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.
Originally posted on Himalayas

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