{"id":817801,"url":"https://alion.io/job/tubitv-data-scientist-growth-analytics","title":"Data Scientist, Growth Analytics","company":{"id":179685,"name":"Tubi","domain":"tubi.tv","url":"https://alion.io/company/tubi","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":72,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130100,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-09T16:44:05Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-11T12:19:44Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":124},"description":"About the Role:\nWe 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.\nThis 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. Please note that we do not provide relocation assistance for this role.\nWhat You'll Do:\nLead the design and evolution of measurement frameworks that quantify marketing effectiveness across the full customer lifecycle, including acquisition, activation, retention, and brand impact.\nCreate 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. \nBuild scalable analytics products that provide executive visibility into marketing performance across paid, owned, and earned channels.\nDesign 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.\nLeverage large language models (LLMs), AI agents, and modern AI frameworks to improve productivity, automate reporting, enhance experimentation workflows, and surface intelligent recommendations.\nEvaluate and implement advanced statistical techniques - including Bayesian modeling, causal inference, uplift modeling, and media mix modeling - to improve marketing measurement and optimization.\nDrive 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. \nPartner closely with Data Engineering to design robust data models, improve data quality, and define scalable pipelines that support analytics at scale.\nBuild 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. \nYour Background:\n4+ 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).\nDeep expertise in SQL, including complex query optimization, dimensional modeling, and large-scale analytical data warehouses such as Databricks, Snowflake, BigQuery, or Redshift.\nStrong programming experience in Python for statistical modeling, automation, experimentation, AI applications, and production-quality analytics workflows.\nExperience building AI-powered analytical tools, agentic workflows, or LLM-based applications that automate repetitive analysis, accelerate decision-making, or improve business operations.\nProven experience building predictive models and applying machine learning techniques to solve business problems in marketing, growth, or customer lifecycle optimization.\nDeep understanding of experimentation methodologies, including A/B testing, causal inference, Bayesian statistics, incrementality testing, and observational analysis.\nExperience developing executive-facing dashboards and scalable self-service analytics solutions using Tableau, Preset, or similar BI platforms.\nDemonstrated ability to influence cross-functional strategy and communicate complex analytical concepts to executive and non-technical audiences.\nStrong curiosity, autonomy, and passion for building scalable analytics capabilities and establishing best practices that raise the bar across the organization.\nFamiliarity with modern AI frameworks and tooling (e.g., LangChain, LangGraph, OpenAI APIs, MCP, vector databases, or similar agent orchestration frameworks) is highly desirable.\nStrong understanding of digital marketing measurement, attribution methodologies, media performance, and customer acquisition economics is a plus.\n#LI-SY1 \nPursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.\nHigh cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco\n$130,100—$165,000 USD\nTubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:\nFor US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.\nFor all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.\nFor 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.\nFor all full-time, regular employees, Tubi offers a monthly wellness reimbursement.\nAbout Tubi:\nBoldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. 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