Data Scientist, Growth Analytics

🏢 Tubitv · 📍 Los Angeles, CA (Hybrid); San Francisco, CA (Hybrid) · 💼 hybrid 💰 $130,100 - $130,100 / yr

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Position Summary & Responsibilities

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

🎯 Candidate Preparation Guide For Tubitv Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessing your expertise in AVOD (Ad-supported Video on Demand) scaling, programmatic advertising tech, and large-scale video streaming infrastructure.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating user experience as secondary to short-term ad revenue extraction.
2. Out-of-touch with modern streaming consumer habits and content discovery trends.
3. Inability to handle massive concurrency challenges in distributed video delivery.

✨ Recommended Role Alignment Hook:

I scale free streaming platforms by optimizing the delicate balance between viewer retention, content personalization, and programmatic ad yield.

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