Senior Data Scientist AI Native (Growth)

Life360

3h • Remote

About The Position

Life360 is seeking a Senior Data Scientist to enhance and scale its growth and user retention initiatives. This role is crucial for the Growth team's strategy and operations, involving close collaboration with business leads, lifecycle marketing, and user acquisition teams. The primary goal is to optimize the entire user funnel, from registration to subscription and churn reduction. The Senior Data Scientist will leverage their expertise in machine learning, statistical modeling, experimentation, and causal inference to enable smarter, faster, and more scalable decisions that directly impact millions of users. The position requires strong technical skills and the ability to work cross-functionally to achieve measurable business outcomes.

Requirements

• 4+ 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.
• Experience with product development or customer life cycle management.
• 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.
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• Problem-solving mindset - You structure ambiguous problems precisely before reaching for a tool, AI or otherwise
• Collaborative approach - You can explain technical tradeoffs and articulate ideas effectively, work well across teams, and value diverse perspectives
• Ownership mentality - You take responsibility for your work from design through production and beyond
• AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time

Nice To Haves

• 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.
• Experience in the consumer technology sector, particularly within a fast-paced and sometimes ambitious development setting.

Responsibilities

• Design and implement scalable A/B tests to train 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.
• Collaborate with product managers and engineers to conceive and develop innovative product ideas, driving feature iteration and development to make impact.
• 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, data-driven decision-making, and agentic AI (AI-Native) best practices.

Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees