Solve problems like churn risk modeling, LTV calculations, retention impact measurement, paid marketing attribution, etc. and build tools and integrations to make their outputs actionable.
Define measurement frameworks and build tools and dashboards to measure impact of initiatives across acquisition, engagement, and retention.
Work closely with team leads on the Data and Consumer Revenue teams to understand problems, discuss approaches, and make decisions about approaches and tradeoffs.
In partnership with data engineers and analysts, help with ongoing measurement and reporting needs for this business.
Occasionally work in partnership with others on audience-facing initiatives like recommendations.

Requirements

Familiarity with Python and SQL, particularly in the context of data science and analytics
Self-sufficiency. You feel comfortable owning a problem end-to-end, identifying the right approach, writing transformation logic to create a dataset, building a model, and a tool to consume its output.
Experience working with a cloud-based data warehouse, like BigQuery or Snowflake. We use BigQuery with dbt for transformation and Dagster for orchestration.
Demonstrable experience using data science to solve a business problem. This does not need to be cutting-edge ML. We’re looking for someone who can evaluate tradeoffs and choose the right solution for the problem, even if that’s rule-based logic.
Adept at leveraging AI both to accelerate your own work and to automate data science and analytics workflows. Expect to use AI regularly in this role to understand new problem spaces and common approaches, write code and documentation, and build tools.
Some experience with experiment design and measurement.
Experience with data and analytics in the context of a recurring subscription business model.
Prior exposure to methodologies like survival analysis for retention measurement, Markov Chains for multi-touch attribution, frameworks for measuring and segmenting engagement levels.
Experience with tools in our stack — BigQuery, dbt, Dagster, Hightouch, Looker.

Benefits

This job is benefits-eligible. We pride ourselves in providing comprehensive benefits to support all of our employees wherever they are in life.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata scienceanalyticsdata transformationmodel buildingexperiment designsurvival analysisMarkov Chainsrule-based logic

Soft Skills

self-sufficiencyproblem-solvingdecision-makingcollaborationcommunication