Data Scientist II — AI & NLP at Scale

Scribd, Inc.; Miami (FL); Hybrid; USD 97,000 - 175,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Health, dental, vision coverage

Generous PTO (vacation, sick, holidays

Equity/retirement match

Learning and development programs

Job summary

Scribd, Inc. is seeking a Data Scientist II to design, deploy and monitor high-impact ML systems across massive datasets.

You will collaborate with ML Engineers and Data Engineers in cross-functional squads to build scalable AI solutions for content classification and discovery while emphasizing simplicity and end-to-end impact. The ideal candidate has 3+ years building production ML pipelines, strong Python, Spark, and SQL skills, and a passion for processing billions of documents and user

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.

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

Spark

SQL

ML pipelines

Education

Bachelor's or Master's in quantitative field

Tools

Databricks

PyTorch

Job description

Scribd, Inc. is seeking a Data Scientist II to design, deploy and monitor high-impact ML systems across massive datasets.

You will collaborate with ML Engineers and Data Engineers in cross-functional squads to build scalable AI solutions for content classification and discovery while emphasizing simplicity and end-to-end impact. The ideal candidate has 3+ years building production ML pipelines, strong Python, Spark, and SQL skills, and a passion for processing billions of documents and user