Lead Data Scientist, Life360
Devices
$146-214.5k
+ Equity
Location sharing app for families
Open for applications
Location sharing app for families
201-500 employees
Open for applications
$146-214.5k
+ Equity
201-500 employees
Company mission
To simplify safety, so families can live fully.
Role
Who you are
- Bachelor’s in data science, computer science, statistics, or related field
- Proven experience (5+ years) as a Data Scientist, working on complex projects and large datasets
- Experience in ML models for time-series, signal processing, or embedded systems applications is highly desirable
- Strong background in consumer hardware/device data (telemetry, sensors, usage logs)
- Expertise in ML for personalization, anomaly detection, and predictive modeling
- Skilled in building pipelines that operationalize device data for analytics and production ML
- Hands-on experience with sensor data (e.g., IMU, GPS, BLE) in real-world scenarios
- Strong problem-solving skills and the ability to tackle open-ended, challenging, data-related problems
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
- Proven track record of successfully delivering data-driven insights and solutions that have a significant impact on product and business decisions
- Python, including Pandas and Scikit-learn
- SQL and Spark
- Experience using Databricks (or similar infrastructure) and its AI/ML capabilities
What the job involves
- The mission of the data science team is to increase the value of our location-based safety solutions by optimizing and enhancing the user experience and creating new growth opportunities
- As part of the product organization, we work closely with product managers, marketing, analytics, finance, engineering, and other cross-functional partners
- This team is small and lean, always looking for and delivering the highest ROI
- Life360 is seeking a Lead Data Scientist who is able to help our company grow by solving real-world problems in a fast-paced environment
- Your expertise in data analysis, machine learning, and statistical modeling will drive key insights and recommendations, enhance the user experience, increase product efficiency, and continuously evolve our safety solutions
- You will provide subject matter expertise and thought leadership, build relationships with key stakeholders, identify and understand opportunities (both internal and external), and develop new insights, product features, and scalable services using data from our mobile, cloud, and third-party platforms
- You’ll be a critical part of the entire project lifecycle from concept, requirements, and design to rapid prototyping, production, and hypothesis testing
- Collaborate with firmware and hardware teams
- Partner with Product, Hardware, Firmware, and GTM teams to optimize data sampling, preprocessing, and inference pipelines on constrained devices
- Mentor data scientists and analysts, raising technical and business impact
- Design experiments to collect labeled training data from real-world usage scenarios
- Focus on improving device usability and member experience through data
- Contribute to patentable IP and long-term ML roadmap for intelligent hardware
- Embody Life360 values: integrity, respect, member-first, and urgency with impact
- Research and Innovation: Stay up-to-date with the latest advancements in data science and machine learning, bringing innovative ideas and best practices to the team and the company
Our take
Life360 is a platform for families that aims to bring them closer together by helping them better sync, communicate, and stay safe.
The business is particularly focused on enabling family members and friends to share their locations with one another. In addition, Life360 offers group messaging services, and also makes it possible for users to call for roadside assistance. The platform is focused on ensuring that both family members and friends can enhance their safety and connections with one another.
Customer service advisors are available on a real-time basis, while the developers of the app have also enhanced its privacy and security features recently. After an IPO in 2019, the company has received numerous awards and is recognized as a pioneer in its field, even piloting a new driving safety feature.
Freddie
Company Specialist at Welcome to the Jungle
Insights
34% employee growth in 12 months
Glassdoor (4.1)
Trustpilot (2.5)
Company
Funding (last 2 of 7 rounds)
Oct 2018
$28m
SERIES D
Dec 2017
$18.5m
LATE VC
Total funding: $117.3m
Company values
- Be a Good Person - We have a team of high integrity people you can trust that doesn’t tolerate jerks (even if they’re brilliant).
- Be Direct With Respect - We have a culture of radical candor that prevents company politics, passive aggressiveness, or being overly nice at the expense of performance and feedback.
- Members Over Metrics - We have a company that is known for an amazing customer experience and a culture of product excellence.
- High Intensity High Impact - We have a team of passionate, driven, ambitious people who work hard and are always challenging us to do better.
Company HQ
East San Mateo, San Mateo, CA
Leadership
Chris Hulls
(CEO)Joined US Air Force aged 17. Attended UC Berkeley. Founded Life360 in 2008.
Alex Haro
(Board Member)Co-founded with Chris Hulls in 2008 - CTO until 2019. Founded mymoneykarma in January 2020.
Share this job
View 2 more jobs at Life360