Senior Data Scientist, AI Native (Growth)

Life360's mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care most about with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com. Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team Data Science at Life360 is a lean, high-impact, matrixed team with individuals embedded in business units and working cross-functionally with Product, Analytics, Engineering, and business stakeholders. We are dedicated to enhancing and optimizing the user experience, accelerating growth, and generating revenue through subscriptions, partnerships, and ads. We leverage a variety of technical skills and tools including experimentation, machine learning, advanced analytics, and agentic AI (AI-Native development) to deliver exceptional customer value. About the Job We are seeking a Senior Data Scientist to scale Life360's growth and user retention efforts. This role will be a core contributor to the Growth team's strategy and operations. You will work closely with business leads, lifecycle marketing, and user acquisition teams to optimize the entire funnel--from registrations to subscriptions and churn reduction. Your expertise will help Life360 make smarter, faster, and more scalable decisions, directly impacting millions of users. This role requires strong technical expertise and practice experience in machine learning, statistical modeling, experimentation, and causal inference, as well as the ability to collaborate with cross-functional teams to drive measurable business outcomes. For candidates based in the US, the salary range for this position is $129,000 to $190,000 USD. For candidates based out of Canada, the salary range for this position is $149,500 to $176,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You'll Do Experimentation & Causal Inference: Design and implement scalable A/B tests to train causal inference models and multi-armed bandits to optimize registration, trial conversion, and retention strategies. Automation & Personalization: Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses. Growth Optimization: Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV. User Segmentation & Personalization: Leverage clustering, behavioral analysis, and geospatial data to identify key user segments and tailor experiences accordingly. Product Development: Collaborate with product managers and engineers to conceive and develop innovative product ideas, driving feature iteration and development to make impact. Cross-functional Collaboration: Partner closely with growth, lifecycle marketing, and user acquisition teams to translate insights into scalable marketing and product strategies. Data Infrastructure & Tooling: Work with data engineering to improve the data ecosystem, ensuring robust, scalable pipelines for experimentation and analysis. Thought Leadership: 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. What We're Looking For Desired Experience & Qualifications 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 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. Experience in the consumer technology sector, particularly within a fast-paced and sometimes ambitious development setting. Core Expectations 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 We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience. Our 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. Life360 Values Our company's mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it's hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. 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