Data Scientist II

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. You will work in cross‑functional teams with Machine Learning Engineers, Data Engineers, and Product managers. You will be curious, collaborative, and excited about building models using massive amounts of data, language models, and deployment.

• Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models.
• Investigate methods of solving our most challenging problems at scale.
• Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross‑functional projects.
• Leverage any algorithm at your disposal: from classical Scikit‑learn and Num Py models to custom Neural Networks in PyTorch to third‑party LLM APIs.
• Process massive amounts of data with Python, SQL and Spark.
• Align with stakeholders through written and verbal communication methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation.

• 3+ years of post‑qualification experience developing machine learning models, working with systems at scale and deploying to production.
• Proficiency in Python.
• Hands‑on experience building ML pipelines and working with distributed data‑processing frameworks like Apache Spark or Databricks.
• Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models.
• Intermediate level or greater experience with SQL or PySpark.
• Bachelor’s or Master’s in a relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus.

• California: $118,000 to $184,000.
• United States outside California: $97,000 to $175,000.
• Canada: $123,000 CAD to $164,000 CAD.

Employees must have their primary residence in or near one of the following cities:

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

• Scribd Flex (flexible work model)
• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retirement matching and employee equity
• Learning and development programs and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools

We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing  at any point in the interview process.

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Scribd, Inc. 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 believe that a diversity of perspectives and experiences creates a foundation for the best ideas. Come join us in building something meaningful.