Lead Data Scientist New Remote, USA; Remote, Canada

Life360; United States; Hybrid; USD 175,000 - 218,000; Full time

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’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.

Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.

What You’ll Do

• Conduct deep investigations into revenue-generating options and the data behind them, and use them to size, scope, and measure product changes in Databricks.
• Design, build, deploy, and operate production ML systems, from batch inference to online services to online learning models, using the team's feature store and model registry, for personalization, experimentation, and automation use cases.
• Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate these systems into user-facing features.
• Set up monitoring for new ML-based features so their performance and business impact are measured.
• Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant, reproducible, and secure.
• Improve the data ecosystem with Data Engineering, including the pipelines that feed experimentation and ML.
• Mentor other data scientists and define best practices for advanced analytics and ML system development.
• Use Claude Code and other AI tools across data discovery, modeling, and experiment evaluation.

What We’re Looking For

Expected Experience & Qualifications

• Education: advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience.
• Professional Experience: 6+ years of experience scoping, building, and analyzing ML-powered systems, including models you have shipped to production.
• Programming Proficiency: Significant experience with Python and scikit-learn, PySpark, and causal inference programming languages, including familiarity with software engineering best practices (testing, modularization, version control, etc.).
• Causal Inference: Technical training and professional experience applying modern causal inference and causal analysis techniques.
• Instrumentation and Measurement: Significant experience working with found data, guiding instrumentation to generate new data, and implementing data transformations to support complex analyses and ML system development.
• Experimentation: Hands-on experience setting up experiments in the consumer technology space, including experiment design, monitoring, and analysis of results.
• Consumer Product Experience: Experience building ML or running experiments at a consumer (B2C) technology company, ideally on revenue work such as subscriptions, transactions, or ads.
• Communication and Leadership: Strong communication and project leadership skills, with the ability to influence cross-functional teams.
• Problem Solving: Strong capability to solve ambiguous problems in a structured, hypothesis-driven, data-supported way.
• Generative AI & LLMs: Prior experience leveraging LLMs in advanced data processing and analysis workflows.

Preferred Qualifications

• Digital Advertising: Experience with modern digital advertising, including ad tech infrastructure.
• Feeds and Ranking: Experience with ranking and grouping algorithms for content feeds.
• Advanced Tooling: Experience contributing to and managing production feature stores and ML model registries.
• Revenue Partnership: Experience working with product line GMs, including familiarity with revenue reporting and forecasting analyses.
• Subscription Products: Experience in subscription-based products, lifecycle marketing, or user acquisition.
• Geospatial: Experience with geospatial data and mobile location-based services.
• Daily use: Running parallel workstreams instead of hand-holding one agent at a time.
• Judgment and ownership: Review AI-generated code, analyses, and models as critically as a colleague's pull request. You are accountable for everything you ship, whoever or whatever wrote it.
• Velocity: Turn AI fluency into output. We expect you to deliver more production ML, faster, than the same work would take without AI.
• Team leadership: Share your AI workflows with the team and raise the AI fluency of the data scientists and engineers around you.
• Continuous learning: Keep up with new AI tools and techniques, test them on real team problems, and bring recommendations to the team.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer 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 and RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being.
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

• Be a Good Person - We have a team of high integrity people you can trust.
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families.
• High Intensity, High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Life360’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A \"disabled veteran\" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A \"recently separated veteran\" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An \"active duty wartime or campaign badge veteran\" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An \"Armed forces service medal veteran\" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.