# Data Scientist, Growth Analytics at Tubi

> Hybrid · United States · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Atubitv%3A8052429 (read 2026-11-04).

## Facts (observed)

- Company: [Tubi](https://alderhq.app/companies/tubi)
- Location text: Los Angeles, CA (Hybrid); San Francisco, CA (Hybrid); Los Angeles; San Francisco (HQ)
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Los Angeles, CA (Hybrid); San Francisco, CA (Hybrid); Los Angeles; San Francisco")
- Posted: 2026-07-09 (118 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/tubitv/jobs/8052429
- Skills listed (inferred): Python, Snowflake, SQL, LLMs

## Pay and sponsorship

- Posted pay: $130k–$165k per year (from the listing's pay field)
- Market band for similar posted roles (Los Angeles, n 9): p25 $90k, median $105k, p75 $130k
- H-1B filings at this company for similar roles, FY26: 7, median offered wage $193k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### About the Role

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. Please note that we do not provide relocation assistance for this role.

### What You'll Do

- 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.
### Your Background

- 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.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Atubitv%3A8052429 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.