Senior Data Scientist, Experimentation & AI Measurement

Zillow Group; Ciudad de México; Presencial; MXN 1.000.000 - 1.800.000; Jornada completa

Descripción de la vacante

Zillow Group's Experimentation Platform team (ZEXP) enables product, engineering, and data science to test bold ideas and decide with trustworthy data. As a Senior Data Scientist you will bring statistical rigor to self-service experimentation and measure AI tool impact across the organization.

This role blends hands-on analysis, causal inference, and leadership to guide projects, mentor peers, and represent data science in partner teams, balancing depth with speed in a priority-rich environment.

Formación

• Advanced statistics and experimentation methods.
• Ability to mentor scientists and analysts.
• Strong communication with partner teams.

Responsabilidades

• Design, build, and validate rigorous methods for experiment design and analysis, including self-service platforms.
• Develop automated guardrails for experiments and monitoring to ensure reliability.
• Lead experiment design reviews for high-visibility launches and ensure valid hypotheses and populations.

Conocimientos

Statistical analysis

Causal inference

Experiment design

Leadership

Descripción del empleo

About the team

The Zillow Experimentation Platform (ZEXP) team enables Zillow Group's Product, Engineering, and Data Science organizations to test bold ideas, validate strategies, and make trustworthy decisions quickly. Our mission is to make rigorous, self-service experimentation and measurement possible for anyone — regardless of their role — through powerful tools, clear guidance, and scientific rigor.

We're part of the Core Data Tech organization, partnering with engineers, data scientists, and machine learning practitioners to scale experimentation and measurement across the Zillow ecosystem. Our work fuels Zillow's Housing Super App strategy by enabling fast, safe, and accurate decision-making rooted in trustworthy data.

Learn more about what we're building at https://www.zillow.com/news/category/product-innovation/

About the role

As a Senior Data Scientist working in ZEXP, you'll deliver value through your analyses and by elevating the work of the team around you. You'll bring statistical rigor to two connected problems: making Zillow's experimentation practice more self-service and trustworthy, and measuring whether Zillow's growing investment in AI-assisted engineering and development tools create durable, high‑quality value rather than just activity.

This is an experienced individual-contributor role that blends hands‑on measurement, causal inference, and applied statistics with team leadership. You'll act as a focal point for projects, mentor other scientists and analysts, and represent data science and experimentation to partner teams — advocating for sound measurement wherever decisions get made. You'll balance depth and speed in an environment of competing priorities, and you'll know when further rigor stops adding value. You will get to

• Design, build, and validate statistically rigorous methods for experiment design and analysis — productionizing techniques such as variance‑reduction and sequential testing as reusable, self‑service platform capabilities.
• Build and improve automated guardrails that prevent the common causes of experiment restarts and manual interventions — in‑flight monitoring and alerting, ramp‑plan adherence, early‑stopping thresholds, and cross‑line‑of‑business guardrail‑harm checks — in support of reliable and trustworthy experimentation practices.
• Lead experiment design reviews for high‑visibility launches, catching issues like ill‑suited experimental populations, misaligned hypotheses, or contradictory launch criteria, protecting Zillow’s biggest decisions from flawed experimental practices.
• Define and scale a measurement framework for AI's impact on engineering and behavior — segmenting usage and proficiency at the team and org level, and connecting adoption to behavioral change, productivity, quality, and financial outcomes.
• Pair velocity signals with lagging quality measures (reverts, change‑