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Senior Data Scientist, AI Native (Growth)

2 weeks, 1 day ago
United States, Canada
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark AWS Databricks Machine Learning Pandas Python PyTorch Reinforcement Learning Scikit-learn SQL TensorFlow
Apply Now
Life360

Life360

Life360 is the top family location safety app, offering advanced safety features to connect and protect millions of families worldwide.

Family Services
251-1K
Founded 2008
$140M raised
View All Jobs 24

Description

  • Design and implement scalable A/B tests, causal inference models, and multi-armed bandits to improve registration, trial conversion, and retention.
  • Build and scale automation tools for experimentation and segmentation to help teams test and iterate faster.
  • Develop predictive models and statistical frameworks to improve conversion, reduce churn, and increase customer lifetime value.
  • Use clustering, behavioral analysis, and geospatial data to identify user segments and personalize experiences.
  • Partner with product managers and engineers to develop new product ideas and support feature iteration.
  • Collaborate with growth, lifecycle marketing, and user acquisition teams to turn insights into scalable marketing and product strategies.
  • Work with data engineering to improve data pipelines and the broader data ecosystem for experimentation and analysis.
  • Mentor teammates and help define best practices in experimentation, machine learning, data-driven decision-making, and AI-native workflows.

Requirements

  • 4+ years of experience in data science, machine learning, or analytics with a focus on growth, experimentation, and user retention.
  • Strong experience with causal inference, A/B testing methodologies, and statistical modeling.
  • Deep understanding of machine learning for segmentation, personalization, and predictive analytics.
  • Proficiency in Python, including Pandas, Scikit-learn, PyTorch, or TensorFlow, and SQL for analysis and data manipulation.
  • Experience with big data technologies such as Spark, AWS, and Databricks.
  • Experience with product development or customer lifecycle 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: experience in subscription-based products, lifecycle marketing, or user acquisition.
  • Preferred: experience with geospatial data and mobile location-based services.
  • Preferred: familiarity with Bayesian modeling, uplift modeling, and reinforcement learning for experimentation.
  • Preferred: experience with workflow automation tools for experimentation and data science operations.
  • Preferred: experience in the consumer technology sector in a fast-paced development environment.

Benefits

  • Competitive pay, with a US salary range of $129,000 to $190,000 USD or a Canada salary range of $149,500 to $176,000 CAD, plus equity.
  • Medical, dental, vision, life, and disability insurance, with 100% employer-paid coverage for US employees.
  • 401(k) with company matching for US employees, or RRSP with DPSP for Canadian employees.
  • Employee Assistance Program (EAP) for mental wellness.
  • Flexible PTO plus 12 company-wide days off each year.
  • Learning and development programs.
  • Equipment, tools, and reimbursement support for a productive remote work environment.
  • Free Life360 Platinum Membership for your preferred circle.

Interested in this position?

Apply directly on the company website

Apply Now

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