Data Scientist (Growth Analytics)

Join our team as a Data Scientist (Growth Analytics) and be at the forefront of data science, growth strategy, and AI-powered automation. In this highly technical and data-intensive role, you will dive deep into data, create scalable data solutions, build agentic AI workflows, support growth marketing measurement, and enable growth experimentation. This is a hybrid role based in San Francisco or Los Angeles, requiring two days a week in the office.

• Lead the design and evolution of measurement frameworks that quantify marketing effectiveness across the full customer lifecycle.
• Create business intelligence suites that provide a holistic view of marketing performance across growth marketing, brand marketing, SEO/AEO, CRM, social, content, partnerships, and business development.
• Build scalable analytics products that provide executive visibility into marketing performance across paid, owned, and earned channels.
• Deep understanding of experimentation methodologies, including A/B testing, causal inference, Bayesian statistics, incrementality testing, and observational analysis
• Strong curiosity, autonomy, and passion for building scalable analytics capabilities and establishing best practices that raise the bar across the organization
• Strong understanding of digital marketing measurement, attribution methodologies, media performance, and customer acquisition economics is a plus
• Demonstrated ability to influence cross-functional strategy and communicate complex analytical concepts to executive and non-technical audiences
• Experience developing executive-facing dashboards and scalable self-service analytics solutions using Tableau, Preset, or similar BI platforms
• Strong programming experience in Python for statistical modeling, automation, experimentation, AI applications, and production-quality analytics workflows
• Deep expertise in SQL, including complex query optimization, dimensional modeling, and large-scale analytical data warehouses such as Databricks, Snowflake, BigQuery, or Redshift
• Proven experience building predictive models and applying machine learning techniques to solve business problems in marketing, growth, or customer lifecycle optimization
• Experience building AI-powered analytical tools, agentic workflows, or LLM-based applications that automate repetitive analysis, accelerate decision-making, or improve business operations
• Familiarity with modern AI frameworks and tooling (e.g., LangChain, LangGraph, OpenAI APIs, MCP, vector databases, or similar agent orchestration frameworks) is highly desirable
• 4+ years of experience in Analytics, Data Science, Decision Science, or Growth Analytics, with demonstrated impact in a high-growth B2C technology company. (streaming, gaming, fintech, or consumer app businesses preferred)