Senior Data Scientist (Growth)

Life360
5h$129,000 - $190,000Remote

About The Position

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.

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.

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

  • 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.

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.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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