Senior Director, Analytics and Data Science, Core Product & Growth
New
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Life360Consumer Technology
Remote, USA; Remote, CanadaFull-TimeDirector
SalaryFor candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD.
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Job Details
- Experience
- 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
- Required Skills
- PythonSQLMachine LearningTableauData scienceDatabricksR
Requirements
- 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
- Deep expertise in inferential and causal analytics.
- Able to lead ML practitioners.
- Expert knowledge of engagement, retention, churn, and cohort metrics.
- Experience forecasting a company-level metric.
- SQL, plus Python or R.
- Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).
- Hands-on with coding agents (Claude Code or equivalent) in your own analytical work.
- Bachelor's degree or equivalent.
Responsibilities
- Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
- Own the MAU driver model and the forecast.
- Own the exploratory work that drives the strategy to grow MAU.
- Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.
- Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
- Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
- Use agents and automated analysis daily, and expect the same of the team.
- Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.
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