At Scribd (pronounced "scribbed"), our mission is to spark human curiosity.
Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.
We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.
When it comes to workplace structure, we believe in balancing individual flexibility and community connections.
It's through our adaptable work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs.
A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection.
For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location.
So what are we looking for in new team members?
Well, we hire for "GRIT".
The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals.
At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work.
In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to.
Here's what that means for you: we're looking for someone who showcases the ability to set and achieve **G**oals, achieve **R**esults within their job responsibilities, contribute **I**nnovative ideas and solutions, and positively influence the broader **T**eam through collaboration and attitude.
**About the Role**




**The Data & Analytics team at Scribd is seeking a Lead Data Scientist to**drive the strategy behind how Scribd discovers, prioritizes, and invests in content.
Sitting at the intersection of content, product, and business, this role is both highly strategic and deeply technical — with direct impact on how millions of users engage with our global content library.
Scribd is a differentiated subscription platform with strong organic reach and a vast content catalog, spanning books, audiobooks, and over 100 million user-generated documents and slides.
In a world where AI is rapidly changing content discovery, summarization, and creation, our challenge — and opportunity — is to use data to help users cut through the noise and engage with high-quality, human-centered content.
In this high-impact, cross-functional role, you'll partner across Content, Product, and Engineering to build models, experiments, and frameworks that surface the right content to the right users — and guide strategic investments in both premium and UGC content.
You'll shape how we define content value, how we measure content ROI, and how we evolve our platform alongside emerging technologies like GenAI.
This is a rare opportunity to influence not just what content we bring onto the platform, but how it reaches and resonates with a global audience — at a moment of rapid transformation in the content landscape.
**You Will**
- Define and evolve content valuation frameworks,



quantifying impact through both user engagement and business ROI lenses.
- Identify key user engagement signals and build predictive or causal models to evaluate content performance across the user lifecycle — from trial to activation, retention, and long-term value.
- Design and analyze experiments that measure content impact on conversion, churn, monetization, and LTV.
- Partner with Product Managers to enhance content curation, discovery, personalization, and engagement — leveraging emerging machine learning techniques such as GenAI where applicable to drive innovation.
- Collaborate with the Content Deals team to inform acquisition and licensing strategies using robust, data-backed insights.
- Present findings and strategic recommendations to stakeholders across Product, Engineering, Content, and Executive teams.
- Partner with Data Engineering and Analytics to ensure key content metrics are accurate, scalable, and accessible across the business.
- Contribute to broader data science efforts, championing experimentation standards, modeling best practices, and innovation in content strategy.
**You Have**
- 8+ years of experience in data science, analytics, or a related field, with a proven track record of solving complex product and business problems.
- Strong foundation in statistical and machine learning techniques, including supervised and unsupervised modeling approaches.
- Advanced proficiency in SQL and Python, with hands-on experience building machine learning models and analytical workflows.
- Experience working with large-scale datasets, developing scalable data pipelines, and building reusable modeling frameworks.
- Deep expertise in A/B testing, causal inference, and quasi-experimental methods.
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📌 Lead Data Scientist (Xico)
🏢 Scribd
📍 Xico