Life360

Life360

Lead Data Scientist

Remote, USA; Remote, Canada · Senior

Sponsorship not specified$175k-$218kDetected 15 days ago
PythonAlgorithmsMachine Learningscikit-learnData EngineeringData ScienceLLMsMLOpsStatisticsA/B TestingForecastingLeadershipCommunicationProblem Solving

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • The Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly.
  • Our work directly shapes the revenue behind nearly 100 million members.
  • We are a product-minded, AI-Native engineering team.

Responsibilities

  • Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate these systems into user-facing features.
  • Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant, reproducible, and secure.
  • 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
  • Members Before Metrics - We focus on building an exceptional experience for families.

Requirements

  • 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.
  • Communication and Leadership: Strong communication and project leadership skills, with the ability to influence cross-functional teams.
  • Generative AI & LLMs: Prior experience leveraging LLMs in advanced data processing and analysis workflows.

Nice to have

  • 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.
  • AI-Native Expectations
  • 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.

Compensation

  • For candidates based in the US, the salary range for this position is $ 175,000 to $218,000 USD.

Benefits

  • 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.
  • 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.
  • Learning & Development programs.
  • Education: advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience.
  • Equipment, tools, and reimbursement support for a productive remote environment.

Company info

  • 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.
  • 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.
Apply directly at Life360 →Create a free account for alerts like thisView Life360 immigration profile

This listing is sourced directly from Life360's careers page and normalized into a canonical job model.