Lead Data Scientist

Summary

Join Life360's Data Science team as a Lead Data Scientist to spearhead innovation in experimentation, segmentation, and user experience optimization. You will develop segmentation models, data-driven growth strategies, and experimentation hypotheses, collaborating closely with growth, lifecycle marketing, and user acquisition teams. This role demands strong technical expertise in machine learning, statistical modeling, and causal inference, along with excellent cross-functional collaboration skills. You will contribute to measurable business outcomes, impacting millions of users. The position offers a competitive salary and a comprehensive benefits package, including medical, dental, vision, and other benefits, as well as equity. Life360 provides a remote-first flexible work environment.

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

Responsibilities

• Design and implement scalable A/B testing, causal inference models, and multi-armed bandits to optimize registration, trial conversion, and retention strategies
• Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses
• Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV
• Leverage clustering, behavioral analysis, and geospatial data to identify key user segments and tailor experiences accordingly
• Partner closely with growth, lifecycle marketing, and user acquisition teams to translate insights into scalable marketing and product strategies
• Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and analysis
• Act as a mentor and thought leader within the data science team, helping to define best practices in experimentation, machine learning, and data-driven decision-making

Preferred Qualifications

• Experience in subscription-based products, lifecycle marketing, or user acquisition
• Experience with geospatial data and mobile location-based services
• Familiarity with Bayesian modeling, uplift modeling, and reinforcement learning for experimentation
• Experience with workflow automation tools for experimentation and data science operations

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
• Remote-First Flexibility