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Tubi

Data Scientist, Growth Analytics

Tubi

Data Scientist role at Tubi applying analytics and AI for growth marketing measurement and experimentation. Requires expertise in SQL, Python, and analytical tools.

Posted 7/9/2026full-timeLos Angeles • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryPythonSQLTableau

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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).
  • Deep expertise in SQL, including complex query optimization, dimensional modeling, and large-scale analytical data warehouses such as Databricks, Snowflake, BigQuery, or Redshift.
  • Strong programming experience in Python for statistical modeling, automation, experimentation, AI applications, and production-quality analytics workflows.
  • Experience building AI-powered analytical tools, agentic workflows, or LLM-based applications that automate repetitive analysis, accelerate decision-making, or improve business operations.
  • Proven experience building predictive models and applying machine learning techniques to solve business problems in marketing, growth, or customer lifecycle optimization.
  • Deep understanding of experimentation methodologies, including A/B testing, causal inference, Bayesian statistics, incrementality testing, and observational analysis.
  • Experience developing executive-facing dashboards and scalable self-service analytics solutions using Tableau, Preset, or similar BI platforms.
  • Demonstrated ability to influence cross-functional strategy and communicate complex analytical concepts to executive and non-technical audiences.
  • Strong curiosity, autonomy, and passion for building scalable analytics capabilities and establishing best practices that raise the bar across the organization.
  • Familiarity with modern AI frameworks and tooling (e.g., LangChain, LangGraph, OpenAI APIs, MCP, vector databases, or similar agent orchestration frameworks) is highly desirable.
  • Strong understanding of digital marketing measurement, attribution methodologies, media performance, and customer acquisition economics is a plus.

Benefits

Comp & perks
  • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
  • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
  • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AnalyticsData ScienceDecision ScienceGrowth AnalyticsStatistical ModelingMachine LearningBayesian StatisticsCausal InferenceExperimentationPredictive Models
Soft Skills
Strong CuriosityAutonomyCommunication Skills