Data Scientist II — AI & NLP at Scale

Scribd, Inc.; Salt Lake City (UT); On-site; USD 97,000 - 175,000; Full time

Benefits offered by this job

Scribd Flex

Health coverage

Paid time off

Parental leave

Retirement matching

Learning programs

Wellness stipend

AI tools access

Job summary

Scribd, Inc. is seeking a Data Scientist II to design, build, and deploy high‑impact ML systems across content classification and NLP use cases.

You will collaborate with ML Engineers, Data Engineers and Product teams to leverage massive datasets, from model development to production deployment, in a scalable cloud environment. The role emphasizes end‑to‑end visibility, simplicity, and measurable impact, with strong emphasis on cross‑functional collaboration and documentation.

Qualifications

• 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments.
• Proficiency in Python.
• Hands‑on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
• 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 Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus.

Responsibilities

• 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 Scribd, 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 NumPy 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 communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation

Skills

Python

ML pipelines

Apache Spark

SQL

NLP

Education

Bachelor's or Master's in a quantitative field

Tools

Scikit-learn

PyTorch

Databricks

Job description

Scribd, Inc. is seeking a Data Scientist II to design, build, and deploy high‑impact ML systems across content classification and NLP use cases.

You will collaborate with ML Engineers, Data Engineers and Product teams to leverage massive datasets, from model development to production deployment, in a scalable cloud environment. The role emphasizes end‑to‑end visibility, simplicity, and measurable impact, with strong emphasis on cross‑functional collaboration and documentation.