Senior Data Scientist - Remoto en Zillow

About the role

This role will employ a broad variety of data science skills, all with the aim of creating a fantastic product for home sellers to joyfully and efficiently sell.

• Proactively conduct hypothesis-focused deep dives and explorations to understand the seller journey and experience with Zillow Group products
• Design and execute experiments (ex: A/B tests) that measure impact of product changes. Frame experimentation problems, both statistically and within the business and customer context
• Present customer insights, metric development, testing methodologies, and experimentation results to technical and non-technical partners
• Identify and size whitespace opportunities for this nascent and fast growing product
• Work with engineering teams to improve data collection procedures to ensure integrity and quality of the data

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

Are you passionate about all things “home”? Would you describe yourself as a curious and ambitious problem solver? Come help us guide our business into the future with powerful insights and recommendations! We're seeking a data scientist with the follow qualifications:

• Possesses either an undergraduate or Master's degree in a quantitative field (e.g. mathematics, finance, statistics, or similar) or confirmed experience within data science and analytics
• 3+ years of work experience involving quantitative data analysis and complex problem solving
• Excellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plans
• Experience building statistical models to yield insights from complex user journeys
• Strong proficiency in Python and/or another programming language; experience using SQL, Tableau, and Excel
• Experience in experimentation methodologies and causal inferences
• Strong product sense