Sr. Product Data Scientist
Confirmed live in the last 24 hours
Cambridge, MA, 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 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/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing
  • Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features
  • Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
  • Iteratively improve our experimentation methods and establish best practices for A/B/n experiments
  • Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features
  • Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
  • Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features
  • Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
  • Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics

51-200 employees