Full-Time Senior Data Scientist

We're seeking a talented and experienced Senior Data Scientist to join our Growth team. In this role, you'll be instrumental in driving data-driven decision-making and strategy for our product's growth initiatives. You'll work closely with cross-functional teams to develop insights, build models, and implement solutions that directly impact user acquisition, engagement, and retention.

Key Responsibilities:

• Lead the development of frameworks and metrics to quantify and track the health of our growth ecosystem
• Conduct deep strategic analyses and opportunity sizing to address complex growth questions that drive long-term user engagement
• Collaborate with product and engineering teams to develop data-driven recommendations for improving onboarding funnels, retention, and deeper engagement across the app
• Partner with marketing teams to analyze and optimize user acquisition strategies, providing insights to improve channel effectiveness and user quality
• Design and apply causal inference techniques to rigorously evaluate the impact of growth initiatives and inform strategic decisions
• Contribute to the maintenance and improvement of our data infrastructure and pipelines
• Help bolster our experimentation platform and oversee A/B testing processes
• Establish and promote data science best practices and methodologies within the organization
• Support various teams with data-driven insights and foster a culture of data literacy

Requirements

• 4+ years of experience as a Data Scientist, primarily on Growth teams or initiatives
• Strong background in statistical analysis, machine learning, and/or causal inference to guide decision making at all steps in the growth funnel
• Proficiency in Python, SQL, and data visualization tools like Hex
• Experience with experimentation and A/B testing methodologies
• Familiarity with growth metrics in mobile and/or consumer social products
• Excellent communication skills, with the ability to translate complex analyses into actionable insights for non-technical stakeholders
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree preferred

Preferred Qualifications

• Experience working in fast-paced, startup environments
• Knowledge of user behavior modeling and predictive analytics