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Urgent! Data Scientist II Job Opening In WorkFromHome – Now Hiring Scribd, Inc.



Job description

Overview

Data Scientist II role at Scribd, Inc.

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About Scribd

At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.

We create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our products: Everand, Scribd, and Slideshare.

Scribd supports a culture where employees can be real and bold, debate and commit, and take action with the customer in mind.

Scribd Flex enables flexible work with occasional in-person attendance required.

The company values GRIT—goals, results, innovative ideas, and teamwork.

The Applied Research team models how machine learning, NLP and generative AI can deliver value to users and the business.

We collaborate with Product and Engineering to maximize impact across content enrichment, representations learning, recommendations, search, translation, and other areas across text, image, and audio at scale.

Role Overview

We are seeking a Data Scientist II with experience developing and deploying machine learning models.

You will help design and implement high impact AI and ML systems in cross-functional teams with Machine Learning Engineers, Data Engineers and Product.

The role focuses on building models using large data, language models, and end-to-end deployment with emphasis on simplicity, visibility and impact.

Responsibilities

  • Focus on content classification use cases, leveraging traditional NLP, LLMs and generative models
  • Investigate scalable solutions for challenging problems at Scribd
  • Collaborate with other Data Scientists, ML Engineers and ML Data Engineers on cross-functional projects
  • Utilize algorithms from classical Scikit-learn and NumPy to custom PyTorch neural networks and third-party LLM APIs
  • Process large data sets with Python, SQL and Spark
  • Communicate approaches and results to stakeholders and document projects clearly

Requirements

  • 3+ years post-qualification experience developing ML models, deploying to production and working with systems at scale
  • Proficiency in Python
  • Hands-on experience building ML pipelines and with distributed data processing frameworks (e.g., Apache Spark, Databricks)
  • Intermediate level in at least three of: classification, NLP, search, information retrieval, named entity recognition, deep learning, generative models
  • Intermediate level or greater with SQL or PySpark
  • Bachelors or Masters in a relevant quantitative field (e.g., Statistics, Computer Science, Data Science, AI)

Compensation and Benefits

Salary ranges vary by location and are determined with consideration of experience, skills, and business needs.

California: typically $118,000 - $184,000; US (outside CA): $97,000 - $175,000; Canada: $123,000 CAD - $164,000 CAD.

This position is eligible for equity and a comprehensive benefits package.

Working Location and Eligibility

Employees must have their primary residence in or near listed cities.

United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C. Canada: Ottawa, Toronto, Vancouver.

Mexico: Mexico City.

EEO and Equal Opportunity

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply and value diverse perspectives.

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Required Skill Profession

Bases De Datos, Analítica Y Bi



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