Lead Data Scientist

The role

You will own the path from revenue opportunity to production ML for the Direct Revenue business unit. You will find and size opportunities, agree on priorities with business leads, and ship models alongside data scientists and engineers.

What you will do

• Conduct deep investigations into revenue-generating options and use them to size, scope, and measure product changes in Databricks.
• Design, build, deploy, and operate production ML systems.
• Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate systems into user-facing features.
• Set up monitoring for new ML-based features.
• Implement lineage tracking for data, code, and model artifacts.
• Improve the data ecosystem with Data Engineering.
• Mentor other data scientists and define best practices.
• Use Claude Code and other AI tools across data discovery, modeling, and experiment evaluation.

Required qualifications

• Advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience.
• 6+ years of experience scoping, building, and analyzing ML-powered systems, including models shipped to production.
• Significant experience with Python and scikit-learn, PySpark, and causal inference programming languages.
• Familiarity with software engineering best practices (testing, modularization, version control, etc.).
• Technical training and professional experience applying modern causal inference and causal analysis techniques.
• Significant experience working with found data, guiding instrumentation, and implementing data transformations.
• Hands-on experience setting up experiments in the consumer technology space.
• Experience building ML or running experiments at a consumer (B2C) technology company.
• Strong communication and project leadership skills.
• Strong capability to solve ambiguous problems in a structured, hypothesis-driven, data-supported way.
• Prior experience leveraging LLMs in advanced data processing and analysis workflows.

Nice to have

• Experience with modern digital advertising, including ad tech infrastructure.
• Experience with ranking and grouping algorithms for content feeds.
• Experience contributing to and managing production feature stores and ML model registries.
• Experience working with product line GMs, including familiarity with revenue reporting and forecasting analyses.
• Experience in subscription-based products, lifecycle marketing, or user acquisition.
• Experience with geospatial data and mobile location-based services.

Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees).
• Life and disability as well as supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US.
• RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP).
• Flexible PTO, companywide holidays, and summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.

Before you apply

• AI tool usage during interviews varies by role.
• You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance.
• Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About the company

Life360 is a Remote First company. Its mission is to keep people close to the ones they love through mobile apps, Tile tracking devices, and Pet GPS trackers.