Sr. Growth Marketing Data Scientist
Confirmed live in the last 24 hours
San Francisco, CA, USA • Remote
Experience Level
Desired Skills
Data Analysis
Data Science
  • 10+ years of experience in a Data Science role
  • Demonstrated ability to influence product roadmaps and business decisions with data
  • Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data
  • Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
  • Experience with relational databases and SQL
  • Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
  • Expert with statistical analysis in either R or Python
  • Strong analytics fundamentals - a degree in statistics, economics, a related field, or similar professional experience
  • Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing
  • Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches
  • Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and iteratively optimize the performance of our marketing efforts
  • Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs
  • Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts
  • Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
  • Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
  • Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings
  • Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn

51-200 employees