Remote opportunity at
Life360Lead Data Scientist
Life360 seeks a Lead Data Scientist to join the Direct Revenue organization's Revenue Experimentation team. Life360 operates a mobile-based membership platform providing location sharing, safe driver…
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About This Role
Life360 seeks a Lead Data Scientist to join the Direct Revenue organization's Revenue Experimentation team. Life360 operates a mobile-based membership platform providing location sharing, safe driver reports, and crash detection to more than 100 million monthly active users globally. In this role, you will lead the transition of revenue opportunities into production machine learning models, scaling production ML delivery and helping shape the team roadmap alongside product managers and data…
Job Description
Life360 seeks a Lead Data Scientist to join the Direct Revenue organization's Revenue Experimentation team. Life360 operates a mobile-based membership platform providing location sharing, safe driver reports, and crash detection to more than 100 million monthly active users globally. In this role, you will lead the transition of revenue opportunities into production machine learning models, scaling production ML delivery and helping shape the team roadmap alongside product managers and data science leads.
This position requires an individual who combines deep technical expertise with hands-on production experience in consumer technology settings. You will investigate revenue options, size opportunities, and build machine learning systems ranging from batch inference to online services. The team operates as an AI-native engineering group utilizing tools such as Claude Code across data discovery, modeling, and experiment evaluation. Responsibilities include designing personalization and recommendation features for consumer-facing ads, setting up performance monitoring, and implementing artifact lineage tracking.
The role involves close collaboration with mobile engineering, cloud engineering, data engineering, and product teams. You will also mentor fellow data scientists, establish best practices for advanced analytics, and refine pipelines that support experimentation. The annual salary range is USD 175,000 to USD 218,000, complemented by equity compensation in the form of Restricted Stock Units and comprehensive benefits including health insurance, retirement plans, and flexible paid time off.
Responsibilities
- Investigate revenue options and data to size, scope, and measure product changes in Databricks
- Design, build, deploy, and operate production machine learning systems including batch inference, online services, and online learning models
- Partner with product, mobile, cloud, and data engineering teams to integrate ML systems into user-facing features
- Establish performance and business impact monitoring for new machine learning features
- Implement data, code, and model artifact lineage tracking to ensure a secure, reproducible, and compliant ML lifecycle
- Collaborate with data engineering to improve data ecosystems and pipelines supporting experimentation and modeling
- Mentor other data scientists and formulate best practices for advanced analytics and machine learning development
- Utilize Claude Code and other artificial intelligence tools for data discovery, modeling, and experiment evaluation
Requirements
- At least six years of professional experience scoping, building, analyzing, and shipping machine learning-powered systems to production
- Extensive programming proficiency in Python, scikit-learn, PySpark, and causal inference programming languages
- Professional training and experience applying modern causal inference and causal analysis techniques
- Significant background working with found data, guiding data instrumentation, and implementing data transformations
- Hands-on consumer technology experience designing, monitoring, and analyzing experiments
- Prior consumer product experience building machine learning or running experiments in subscription, transaction, or ad domains
- Prior experience leveraging large language models in advanced data processing and analysis workflows
Qualifications
- Advanced degree in a field relying on sophisticated statistical analysis or equivalent industry experience
- Experience with modern digital advertising and ad tech infrastructure
- Familiarity with ranking and grouping algorithms for content feeds
- Experience contributing to and managing production feature stores and machine learning model registries
- Experience partnering with product line GMs on revenue reporting and forecasting analyses
- Background in subscription products, lifecycle marketing, or user acquisition
- Experience working with geospatial data and mobile location-based services
Core Skills
Benefits
- 100 percent employer-paid medical, dental, vision, life, and disability insurance plans for US employees
- Life and disability coverage alongside supplemental medical and dental plans for Canadian employees
- 401(k) plan with a company matching program in the US and RRSP with DPSP plan in Canada
- Paid parental leave
- Mental Wellness Program and Employee Assistance Program
- Flexible paid time off, companywide holidays, and summer and winter shutdowns
- Learning and development programs
- Equipment, tools, and reimbursement support for a remote working environment
- Free Life360 Platinum Membership and Tile trackers
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Lead Data Scientist role?
For US-based candidates, the annual salary range is USD 175,000 to USD 218,000. For candidates based in Canada, the range is CAD 171,500 to CAD 202,500.
What are the remote work arrangements for this position?
Life360 operates as a remote-first company where remote work is the primary experience, and positions can be performed remotely within the US and Canada.
What level of experience is required for this role?
Candidates must have six or more years of experience scoping, building, and analyzing ML-powered systems, including models successfully shipped to production, along with an advanced degree or equivalent industry experience.
Does the total compensation package include equity?
Yes, total compensation includes equity in the form of Restricted Stock Units alongside a comprehensive benefits package.
Sample Interview Questions
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