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Life360 logo
Life360

Life360 is an award-winning, San Francisco, California-based family network app that allows families to share their location and collaborate and communicate wit

Senior Data Scientist, Growth

Location

United States

Posted

80 days ago

Salary

$129K - $190K / year

Seniority

Senior

Job Description

Senior Data Scientist, Growth

Life360

• 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.

Job 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.

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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