Data Scientist II: AI & NLP at Scale

Scribd, Inc.; New York (NY); On-site; USD 105,000 - 175,000; Full time

Benefits offered by this job

Scribd Flex (flexible work model)

Health, dental, vision coverage

Paid time off

Retirement matching and equity

Learning and development

Job summary

Scribd, Inc. in New York seeks a Data Scientist II to design and deploy high-impact ML systems for content classification and search. You will collaborate with ML Engineers, Data Engineers and product partners to scale models using Python, Spark, and state-of-the-art language models.

You should have 3+ years building production ML pipelines, strong Python, and experience with distributed data processing. This role offers Scribd Flex, comprehensive benefits, and equity as part of total

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 Master’s in a quantitative discipline.

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

SQL

Spark

NLP

LLMs

Deep learning

Generative models

Education

Bachelor’s or Master’s in a quantitative discipline

Tools

Databricks

Scikit-learn

PyTorch

Job description

Scribd, Inc. in New York seeks a Data Scientist II to design and deploy high-impact ML systems for content classification and search. You will collaborate with ML Engineers, Data Engineers and product partners to scale models using Python, Spark, and state-of-the-art language models.

You should have 3+ years building production ML pipelines, strong Python, and experience with distributed data processing. This role offers Scribd Flex, comprehensive benefits, and equity as part of total