We are seeking an experienced leader who can help us complete our near-term plans while helping to define and plan our longer-term vision. This role will involve working with Internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis, reporting, and model building to drive strategy.
- Drive creation of analytics tools and data products to enable insights discovery at lightning speed and scale
- Automate and scale existing analysis methods. Institute innovative approaches on modeling and analysis frameworks
- Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer happiness
- Understand advertiser engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
1+ years of experience in analytics and/or data science teams
Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
Must be able to guide and lead analysis and model development efforts across teams of data scientists
Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
Ability to create order from complex, poorly-structured problems
Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
3+ years of experience in analytics and/or data science teams
Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience