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Supported a mobile ad platform's data science team at scale

Industry
INDUSTRY

Technology

Geography
GEOGRAPHY

United States

Capabilities
CAPABILITIES

Data & Analytics

Tech Stack
TECHNOLOGY STACK

BigQuery, Google Looker, Looker Studio, Jupyter Notebook, GitHub, ChatGPT, Claude

Client Overview

Moloco is a digital marketing platform that generates revenue by selling advertising on mobile phones and tablets. Its in-house Growth Data Science (GDS) team supports business clients with data requests tied to ad performance.

As Moloco's client base grew, the GDS team needed a way to keep up with the volume of requests coming in without pulling focus from higher-priority, client-facing work.

The Challenge

  • Growth Data Science team managed all client requests without dedicated support
  • Repetitive, similar requests across different clients consumed data science time
  • Routine ticket work competed with high-value client collaboration for attention
  • Deep-dive investigations often needed small data pulls that slowed bigger analysis
  • Jira ticket volume grew faster than the data science team's capacity

Our Approach

1. Learn the team's request patterns

Classic Informatics worked closely with Moloco's Growth Data Science team to understand the types of requests coming in and the procedures behind completing each one.

2. Take on the repeatable work

The team identified requests that were similar and recurring across different clients, and took ownership of handling them directly.

3. Support deep-dive investigations

Where the data science team needed a smaller data pull as part of a larger investigation, Classic Informatics stepped in to deliver it quickly.

4. Operate as an extension of the team

Close, ongoing collaboration with the GDS team ensured requests were understood correctly and completed the way Moloco's internal team would complete them.

What We Built

Request Handling & Data Support

  • Resolved recurring client data requests using BigQuery
  • Built and maintained reports in Looker and Looker Studio
  • Delivered ad hoc data pulls for GDS deep-dive investigations

Collaboration & Workflow

  • Worked directly within the GDS team's Jira ticket queue
  • Used Jupyter Notebook for ad hoc analysis and validation
  • Managed queries and version control through GitHub

Impact Delivered

By taking on the repetitive, cross-client requests flowing into Moloco's Growth Data Science team, Classic Informatics freed that team to focus on the tickets requiring direct collaboration with Moloco's clients.

Business Impact

  • More GDS capacity for high-value, client-facing work
  • Faster turnaround on recurring, repetitive requests
  • Reduced Jira ticket backlog for the data science team
  • Consistent handling of similar requests across clients

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