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.

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.

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.

Senior Data Scientist, Growth

Key skills