Lead Data Scientist

Life360; Little Canada (MN); Remote; USD 175,000 - 218,000; Full time

Job summary

Life360 is seeking a Lead Data Scientist to own the path from revenue opportunity to production ML for Direct Revenue. You will size opportunities, prioritize with business leads, and ship models alongside data scientists and engineers.

This role focuses on ads, subscriptions, and monetization across 100M+ MAU, with a remote-first policy in the US and Canada. The candidate will scale production ML, influence the team roadmap with the data science lead and product manager, and drive adoption of

Qualifications

• Leads ML initiatives from revenue opportunity to production.
• Ships production ML models and scales delivery.
• Collaborates with data scientists and engineers to execute.
• Senior-level Scientist with strategic impact on roadmap.

Responsibilities

• Identify revenue opportunities and size them for prioritization.
• Develop, train, and deploy ML models in production environments.
• Scale production ML delivery across Life360 products.
• Define and align the data science roadmap with product leads.

Skills

Production ML

Model deployment

Experimentation

Cross-functional leadership

Education

PhD or Master's in ML/CS

Tools

Python

TensorFlow

PyTorch

SQL

Job description

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102. 4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing! ) remote-first employees. For more information, please visit life360. com . Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. 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. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly. We design, ship, and analyze high-velocity experiments across ads, subscriptions, and one-time purchases — pricing, paywalls, ad placement and mediation, upsell and upgrade flows — so every monetization decision is grounded in evidence, not instinct. Our work directly shapes the revenue behind nearly 100 million members. We are a product-minded, AI-Native engineering team. AI isn't just a tool we use — it's how we work. We treat it as a first-class collaborator at every stage: ideation, coding, testing, review, and iteration. We ship faster and go deeper because of it, and we're looking for someone who wants to help define what that looks like at scale.

About the Job

As a Lead Data Scientist, you will own the path from revenue opportunity to production ML for Direct Revenue, the business unit responsible for growing active users, subscriptions, revenue-generating transactions, and in-app advertising across Life360's more than 100 million monthly active users. You will find the opportunities, size them, agree on priorities with business leads, and ship the models alongside the team's data scientists and engineers. This role matters now because the team is expanding to cover consumer-facing ads, including recommendations and personalization, and needs a senior scientist who pairs a deep understanding of the problem with the ability to put models into production. In your first year, you will help the team scale the amount of production ML it delivers and help set the team's roadmap with the data science lead and the product manager. For candidates based in the US, the salary range for this position is $ 175,000 to $218,000 USD . For candidates based out of Canada, the salary range for this position is $171,500 to $202,500 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.