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Senior Data Scientist
1 month ago
Zillow Group is seeking a Senior Data Scientist to join the Marketing Analytics and Data Science team. As a key member of this team, you will play a vital role in developing measurement models and methods to provide insights and support decision-making for marketing stakeholders.
This team works closely with the marketing organization to discover strategic opportunities in areas spanning brand marketing and performance marketing across channels like Google, Facebook, TV, and multiple business lines like rentals, B2C, and B2B.
In this role, you will elevate our marketing measurement capabilities by developing a more holistic measurement strategy across various marketing campaigns, channels, and granularities.
You will leverage your expertise in data analysis, causal inference techniques, experiment design, and marketing analytics to design and implement robust measurement models and collaborate with cross-functional teams to achieve marketing goals.
Key Responsibilities- Conduct in-depth analyses of marketing campaign performance using advanced statistical methods and causal inference techniques.
- Design and execute rigorous experiments to measure the effectiveness of various marketing channels and strategies.
- Develop and maintain predictive models to optimize campaign targeting and maximize marketing effectiveness through channel optimizations.
- Lead the development and implementation of a comprehensive marketing experimentation platform encompassing various marketing channels, LOBs, and granularities.
- Identify opportunities to expand/further develop the current experimentation platform's capabilities to support a wider range of metrics and channels.
- Undergraduate or Master's degree in a quantitative field (e.g., mathematics, engineering, statistics, finance, or similar).
- 4 years of work experience involving quantitative data analysis and complex problem-solving.
- 7+ years of experience in data science specifically in marketing analytics.
- Experience in designing and implementing A/B tests and marketing experiments and/or experience in creating platforms that serve A/B tests for marketing at scale.
- 5+ years of experience implementing a variety of measurement methods across modeling and testing for various marketing use cases.
- 5+ years or more of experience as a data scientist querying multi-terabyte-sized noisy data sets such as clickstream data.
- A strong understanding of statistical concepts, measurement methods, and causal inference techniques as it relates to the marketing space.
- Mastery of SQL, Excel, and either Python or R, along with some experience with Databricks, Tableau, or other visualization software.
- Ability to work cross-functionally and strong written, verbal, and visual communication skills.
- Proficiency in modeling techniques, a deep understanding of various drivers forms of attribution methods and measurement mechanisms in the marketing space.
- Understanding and appreciation of how marketing strategies vary across B2B and B2C and how that influences measurement and data science methods.
- Demonstrated experience in coaching teams both at a tactical layer and strategic layer.
