Lead Data Scientist - Growth

March 12

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Life360

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Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

Family Networking • Location Based Services • Mobile • Connected Home • Connected Car

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

📋 Description

• The Data Science team at Life360 is focused on increasing the value of our safety solutions by optimizing and enhancing the user experience. • We work closely with product managers, growth teams, lifecycle marketing, user acquisition, analytics, finance, engineering, and other cross-functional partners. • We are seeking a Lead Data Scientist to drive innovation in how Life360 experiments, segments, and optimizes its user experience to maximize growth and retention. • This individual will be at the forefront of developing segmentation models, data-driven growth strategies, and experimentation hypotheses. • Your expertise will help Life360 make smarter, faster, and more scalable decisions, directly impacting millions of users.

🎯 Requirements

• 8+ years of experience in data science, machine learning, or analytics, with a focus on growth, experimentation, and user retention. • Strong experience in causal inference, A/B testing methodologies, and statistical modeling. • Deep understanding of machine learning models for user segmentation, personalization, and predictive analytics. • Proficiency in Python (Pandas, Scikit-learn, PyTorch, or TensorFlow) and SQL for data manipulation and analysis. • Experience with big data technologies such as Spark, AWS, Databricks. • Strong business acumen with the ability to translate data insights into actionable business strategies. • Excellent communication and leadership skills, with the ability to influence cross-functional teams.

🏖️ Benefits

• Competitive pay and benefits • Medical, dental, vision, life and disability insurance plans (100% paid for employees) • 401(k) plan with company matching program • Mental Wellness Program & Employee Assistance Program (EAP) for mental well being • Flexible PTO, 13 company wide days off throughout the year • Winter and Summer Week-long Synchronized Company Shutdowns • Learning & Development programs • Equipment, tools, and reimbursement support for a productive remote environment • Free Life360 Platinum Membership for your preferred circle • Free Tile Products