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Lead Data Scientist

Life360Remote, USA; Remote, CanadaAnalytics
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Salary
$ 175K to $218K USD
Job type
Full-time
Work mode
Remote
Experience
Senior · 6+ yrs
Posted
7 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced data scientist with a background in causal inference and production machine learning who wants to work remotely from the US or Canada. Life360 is hiring a Lead Data Scientist to own the path from revenue opportunity to production machine learning for the Direct Revenue organization.

Role Overview

Life360 is seeking a Lead Data Scientist to join the Revenue Experimentation team on a full-time remote basis in the United States or Canada. The position focuses on growing active users, subscriptions, transactions, and in-app advertising for a mobile app serving over 100 million monthly active users. The professional in this position will identify opportunities, scope projects, and deploy production machine learning models alongside engineers and other data scientists.

Key Responsibilities

Investigate revenue-generating options using data to size, scope, and measure product changes in Databricks.
Design, build, deploy, and operate production machine learning systems, spanning batch inference, online services, and online learning models for personalization, experimentation, and automation.
Collaborate with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps teams to integrate systems into user-facing features.
Establish monitoring for new machine learning features to track performance and business impact.
Implement lineage tracking for data, code, and model artifacts to maintain compliance, reproducibility, and security.
Partner with Data Engineering to improve the data ecosystem and data pipelines.
Mentor other data scientists and establish best practices for advanced analytics and machine learning development.
Leverage Claude Code and other artificial intelligence tools for data discovery, modeling, and experiment evaluation.

Requirements

Advanced degree in a field utilizing sophisticated statistical analysis, or equivalent industry experience.
At least 6 years of professional experience scoping, building, and analyzing machine learning systems that have been shipped to production.
Significant programming proficiency in Python, scikit-learn, PySpark, and causal inference programming languages, alongside software engineering best practices.
Professional experience and technical training applying modern causal inference and causal analysis techniques.
Significant background working with found data, guiding instrumentation, and implementing data transformations.
Hands-on experience designing, monitoring, and analyzing experiments in the consumer technology sector.
Experience building machine learning models or running experiments at a consumer technology company focused on revenue, subscriptions, transactions, or ads.
Strong communication and project leadership abilities to influence cross-functional teams.
Capability to resolve ambiguous problems using structured, hypothesis-driven, and data-supported methods.
Prior experience utilizing large language models in advanced data processing and analysis workflows.

Nice to Have

Experience with digital advertising and ad tech infrastructure.
Background in ranking and grouping algorithms for content feeds.
Experience managing production feature stores and machine learning model registries.
Collaboration history with product line general managers on revenue reporting and forecasting.
Background in subscription products, lifecycle marketing, or user acquisition.
Experience working with geospatial data and mobile location-based services.

Skills and Tools

Python
scikit-learn
PySpark
Databricks
Claude Code
Feature Stores and Model Registries
Causal Inference Frameworks

Salary and Benefits

US salary range: $175,000 to $218,000 USD, varying by geographic location tiers and individual background.
Canada salary range: $171,500 to $202,500 CAD.
Equity compensation via Restricted Stock Units (RSUs).
Comprehensive benefits package including medical, dental, vision, and financial programs.

About the Company

Life360 provides a mobile-based membership application offering location sharing, safe driver reports, and crash detection services, alongside Tile tracking devices and Pet GPS trackers. The company operates globally with over 100 million monthly active users across more than 180 countries. Life360 functions as a remote-first organization with a workforce exceeding 500 employees spread across the United States and Canada.

How to Apply

Interested candidates should apply directly on the official Life360 careers page.

Skills and tech stack

Pythonscikit-learnPySparkDatabricksClaude CodeLLMsMLOpsGenerative AI

Questions candidates ask

Can I work remotely for this role?

Yes, Life360 is a remote-first company, and this position can be performed remotely from anywhere within the United States or Canada.

What is the salary range for the Lead Data Scientist position?

For US-based candidates, the salary range is $175,000 to $218,000 USD. For Canada-based candidates, the range is $171,500 to $202,500 CAD. Total compensation also includes Restricted Stock Units and benefits.

How many years of experience are required?

Candidates must have 6 or more years of professional experience scoping, building, and analyzing machine learning systems, including models shipped to production.

What educational background is expected?

An advanced degree in a field that relies on sophisticated statistical analysis is required, or equivalent industry experience.

What technical tools and languages are used in this role?

The role utilizes Python, scikit-learn, PySpark, Databricks, feature stores, model registries, causal inference languages, and AI tools such as Claude Code.

Ready to apply?

The application is on the official Life360 careers page.

Apply on company site