Data Scientist, Tubi
Growth Analytics
2 days a week in office
Free TV and movie streaming service
Posted today
Free TV and movie streaming service
501-1000 employees
Posted today
2 days a week in office
501-1000 employees
Company mission
To free the world’s entertainment to super-serve audiences and advertisers everywhere.
Role
Who you are
- 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
What the job involves
- 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
Our take
Tubi is a streaming service that was founded in 2014 on a mission to offer subscribers premium television and movies for free. To achieve this, the streaming service relies on ad revenue to support its extensive content library. Rather than focusing on producing original content, Tubi emphasizes acquiring the right to preexisting shows and movies.
Leveraging a business model centred on ad-supported streaming, Tubi has successfully disrupted the highly competitive industry. And this approach has resonated with audiences, helping the service amass over 100M monthly active users.
With its recent expansion into the UK, Tubi is poised to tap into a new and diverse audience, further solidifying its position as a major player in the ad-supported streaming market.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2019
$25m
LATE VC
May 2017
$20.8m
SERIES B
Total funding: $75.8m
Company benefits
- Competitive Compensation.
- Healthcare Coverage: We offer medical, dental, and vision coverage, effective from day one.
- 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.
Company HQ
Financial District, San Francisco, CA
Leadership
Anjali Sud
(CEO)Prior to joining Tubi as CEO in 2023, Anjali was the CEO of Vimeo for 6 years.
Sameer Balgi
(CFO)Sameer previously spent 10 years at Amazon in various roles, including Senior Finance Manager of US Advertising and Finance Director of Amazon Advertising. He also spent nearly 6 years at Procter & Gamble in various Finance roles.
Mike Bidgoli
(CPO & CTO)Previously, Mike was the Head of Product, New Monetization Experiences at Meta. He also served as the VP of Product, Instacart App at Instacart and as a Senior Director of Product, Video at Facebook.
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