Data Scientist II

About the team Zillow is reimagining real estate to make home a reality for more and more people. As the most-visited real estate website in the United States, Zillow® and its affiliates assist individuals in finding and securing their home through digital solutions, first-rate partners, and simplified buying, selling, financing and renting experiences. Every month, millions of people visit Zillow Group sites to start their home search, and can now depend on Zillow to make moving easier. The work we do helps people find their homes, and irrespective of your job role, you will play a critical part in making home a reality for countless people. Our initiatives to streamline real estate transactions are bolstered by a firmly ingrained culture of innovation, our passion for redefining the employee experience, a basic commitment to Equity and Belonging, and world-class benefits. These benefits encompass comprehensive medical, dental, vision, life, and disability coverages, in addition to parental leave, family benefits, retirement contributions, and paid time off. We're also setting new standards for future work experiences, where our employees are supported in performing their best work and leading a flexible, well-balanced life. Don't just take our word for it. Check out recent reviews on Glassdoor and recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list. About the role Zillow Group is presently searching for a Data Scientist to join the Marketing Data Science & Analytics team (Marketing DSA). As a data scientist, you'll be instrumental in creating visually striking representations of complex data to provide insights and facilitate decision-making for marketing stakeholders. On the Marketing DSA team, we're passionate about uncovering insights that aid our marketing team in shaping Zillow Group's future. The team closely collaborates with the marketing organization to identify strategic opportunities in areas spanning brand marketing and performance marketing across various channels like Google, Facebook, TV, and several business lines like rentals, B2C and B2B. In this role, you will: - Analyze and interpret large, complex datasets to identify trends, patterns, and insights that bolster marketing execution and optimization. - Work with marketing stakeholders to define key metrics, goals, objectives, and devise data-driven strategies to achieve them. - Apply statistical modeling and machine learning techniques to assess marketing performance. - Conduct in-depth market and customer segmentation analysis to pinpoint target audiences and shape marketing campaign strategies. - Collaborate with cross-functional teams to ensure pertinent insights are surfaced for decision making. - Work with data engineering teams to design and optimize data pipelines and workflows. - Provide insights and recommendations based on data analysis to improve marketing campaign effectiveness, customer targeting, and lead generation. - Communicate complex analytical findings to diverse stakeholders, translating technical concepts into actionable insights and recommendations. - Dive into Zillow's internal and third-party data to develop solutions that drive business growth and enable faster decision making. 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 We're looking for an individual who has a passion for reporting, translating complex data sets and business problems into easily digestible and impactful insights. Ideally, you should have an undergraduate or Master's degree in a quantitative field (like mathematics, engineering, statistics, finance, or related fields), around 4 years of work experience in quantitative data analysis and complex problem solving, 3 years or more of experience as a data scientist, and a deep understanding of statistical concepts, measurement methods, and causal inference techniques relative to the marketing space. Nice to haves include experience with DBT, Snowflake, Looker, Tableau, Airflow or Fivetran, experience with online marketing, familiarity with ad tech space, privacy changes and marketing measurement ecosystem, work experience in agile methodology and familiarity with Jira tool, familiarity with data engineering tools and platforms, and experience in SEO and Google Analytics. Get to know us Zillow is reimagining real estate to make it easier to unlock life’s next chapter. As the most-visited real estate website in the United States, Zillow and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people transition from dreaming to transacting and regardless of your role, you will play a critical role in making this vision a reality. 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, and gender identity. If you have a disability or special need that requires accommodation, please contact us at [email protected].