(Senior) Analytics Engineer

TubeScience Labs: Los Angeles, in person — $110,000–$165,000

TubeScience Labs' mission is to create trusted, scalable, and self-improving AI systems that power the largest performance-based paid social creative video company in the world.

TubeScience is Meta's largest creative partner and AppLovin's #1 creative partner, producing 8,000+ original ads every month from a 100,000 sq. ft. Los Angeles studio, backed by a library of 1.6 million+ performance ads and $3B in annual managed ad spend. That is what gives TubeScience one of the richest first-party creative-performance datasets anywhere.

Labs turns that data — and the playbook behind billions in spend — into frontier AI tools that actually ship. We are an AI-native lab working end to end, from research and design to coding, experimentation and delivery. Our pipelines run against real creative, real deadlines, and real budgets every day.

You'll join a small, AI-empowered, senior team of engineers and product managers, with direct access to expert users and full ownership of the systems you build. You'll be expected to use the latest frontier and open-weight models in every phase of the job, from discovery and prototyping to building, testing and deployment.

The role

You'll build the data systems that connect ad performance to creative decisions. Our platform brings together data from advertising channels, creative production workflows and business operations, and your work makes that data reliable, understandable and useful in reports, internal products, and future analytics and machine learning applications.

The role is hands-on across the whole data lifecycle: extracting data from APIs, maintaining dependable pipelines, modeling data in Snowflake, defining metrics, and delivering insights through Power BI and other tools. Much of the foundation already exists. You'll learn how its parts fit together, make it faster and more reliable, and help shape what we build next.

We weigh directly relevant experience heavily. This platform carries real advertising data and feeds the reporting the business runs on from the first week, so tell us plainly where your background maps: advertising data, warehouse modeling, pipelines or BI.

We are open to hiring at Analytics Engineer or Senior Analytics Engineer level, depending on experience and scope of ownership.

Responsibilities

Build and evolve the data platform, from external sources through ingestion, transformation and curated models to BI and application delivery
Extract and integrate advertising data from Meta, TikTok, Google and Snapchat using their APIs and Python, handling pagination, rate limits, backfills, schema changes and reconciliation with the platforms
Build performant Snowflake models, and define and document the metrics the business relies on together with stakeholders
Maintain and improve Power BI reporting, including a possible migration to a better BI tool, and build datasets that link ad outcomes to creative strategy and production decisions
Investigate discrepancies and pipeline failures, add checks and observability, and use agents to automate the repetitive work
Work with data, product, engineering and business partners on analytics and machine learning approaches that feed ad performance back into creative development

Minimum qualifications

You have 5+ years in analytics engineering, data engineering or a closely related role, with meaningful ownership of production data systems.
You have worked with advertising or marketing performance data, ideally pulling it directly from platforms such as Meta, TikTok, Google or Snapchat.
You are strong in SQL and Python, and you can reason through the full path from a source API to a business-facing metric or report.
You have designed data models and warehouse architecture that support changing business needs, including layered approaches such as medallion architecture where useful.
You have built or maintained orchestrated pipelines, and you understand failure recovery, backfills, data quality and operational reliability.