Data Scientist (Growth Analytics)

Responsibilities We are looking for a problem solver who thrives at the intersection of data science, growth strategy, and AI‑powered automation. You’ll focus on diving deep into data, creating scalable data solutions, building agentic AI workflows, supporting growth marketing measurement, and enabling growth experimentation to power smarter decision‑making for growth marketing. This is a highly technical and data‑intensive role ideal for someone who is passionate about applying advanced analytics and AI to drive business impact in a fast‑paced environment. This is a hybrid role based out of our San Francisco or Los Angeles office. You must be willing to travel to the office two days/week. Lead the design and evolution of measurement frameworks that quantify marketing effectiveness across the full customer lifecycle, including acquisition, activation, retention, and brand impact. Create business intelligence suites that provide a holistic view of marketing performance across growth marketing, brand marketing, Search/Answer Engine Optimization (SEO/AEO), Customer Relationship Management (CRM), social, content, partnerships, and business development, spanning both performance and brand health metrics. Build scalable analytics products that provide executive visibility into marketing performance across paid, owned, and earned channels. Design and implement agentic AI solutions that automate recurring analyses, generate actionable insights, orchestrate multi‑step analytical workflows, and accelerate decision‑making for growth marketing, brand marketing, SEO/AEO, CRM, social, and broader marketing operations teams. Leverage large language models (LLMs), AI agents, and modern AI frameworks to improve productivity, automate reporting, enhance experimentation workflows, and surface intelligent recommendations. Evaluate and implement advanced statistical techniques – including Bayesian modeling, causal inference, uplift modeling, and media mix modeling – to improve marketing measurement and optimization. Drive the organization’s experimentation strategy by designing rigorous A/B tests, incrementality studies, geo experiments, and causal inference methodologies to measure both short‑term performance and long‑term business impact. Partner closely with Data Engineering to design robust data models, improve data quality, and define scalable pipelines that support analytics at scale. Build and maintain dashboards and self‑service analytics solutions in Preset, Databricks, or Tableau that empower growth marketing, brand marketing, SEO/AEO, CRM, social, and cross‑functional partners with timely, actionable insights. Benefits Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one. Competitive Compensation. Family Support: We’re proud to support families of all kinds, and offer generous parental leave, childcare support, and eldercare assistance whenever you need it. Wellness Programs: Monthly wellness reimbursement, generous time off, and additional Tubi Holidays help us support mental and physical wellbeing for you and your family. Continuing Education: From education reimbursement to leadership development to certification support, we’re invested in developing our talent so you can take your career to the next level. Financial Support: We offer resources to help keep you financially fit and invested in your future, from our highly‑rated retirement savings matches to financial advisors and planning services. Qualifications 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) #J-18808-Ljbffr Tubi