Lead Data Scientist — Revenue ML & Personalization

Life360

United States

Hybrid

USD 175,000 - 218,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) with company matching
Paid parental leave
Mental Wellness Program
Flexible PTO
Remote environment equipment/reimburse
Life360 Platinum Membership

Job summary

Life360 is seeking a Lead Data Scientist to own the path from revenue opportunities to production ML for Direct Revenue. You will size opportunities, align with business leads, and ship models with a cross-functional team of data scientists and engineers.

You’ll expand to consumer-facing ads and personalization, scale production ML, and help set the team roadmap with the data science lead and product manager. This remote-first role offers strong compensation and equity.

Qualifications

  • Advanced degree or equivalent in a field with statistical analysis.
  • 6+ years building and shipping production ML systems.
  • Strong Python, scikit-learn, PySpark, and causal inference experience.
  • Experience in consumer tech, ads, or subscriptions is a plus.

Responsibilities

  • Dive into revenue-generating options and size opportunities.
  • Build, deploy, and operate production ML systems.
  • Collaborate with Product, Mobile, Cloud, Data, and MLOps.
  • Set up monitoring and measurement of feature performance.
  • Ensure data lineage and reproducibility of ML artifacts.
  • Mentor other data scientists and share best practices.
  • Utilize Claude Code and AI tools across the workflow.

Skills

Python
scikit-learn
PySpark
causal inference
Experimentation
Leadership

Education

Advanced degree in statistics or related field

Tools

Databricks
Claude Code

Job description

Life360 is seeking a Lead Data Scientist to own the path from revenue opportunities to production ML for Direct Revenue. You will size opportunities, align with business leads, and ship models with a cross-functional team of data scientists and engineers.

You’ll expand to consumer-facing ads and personalization, scale production ML, and help set the team roadmap with the data science lead and product manager. This remote-first role offers strong compensation and equity.

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