Data Scientist II at ScribdInc

Department: Engineering

Compensation

$97,000 – $184,000/yr

Setup: Hybrid
Location: San Francisco, California
Type: Full-time
Level: mid
Posted: Jul 10, 2026

Description

Scribd, Inc. is hiring a Data Scientist II to develop and deploy machine learning models for content classification and other applied research problems at scale. The role involves using Python, SQL, Spark, PyTorch, and LLMs; building ML pipelines; collaborating with machine learning and data engineering teams; and documenting project results. Candidates need at least four years of post-qualification experience, proficiency in Python, distributed data-processing experience, intermediate knowledge in several machine learning or NLP areas, and a relevant quantitative degree. The position offers flexible work with occasional in-person attendance, health, dental, and vision coverage, and a base salary range of $97,000 to $184,000 depending on location.

Required Skills

Python
SQL
Spark
PyTorch
LLMs
NLP
Classification
Deep learning
Generative models

Additional Information

Minimum Education: Bachelor's or master's degree in a relevant quantitative discipline such as Statistics, Computer Science, Data Science, Artificial Intelligence, or another field with a strong quantitative focus.
Required Previous Experiences: At least 4 years of post-qualification experience developing machine learning models, working with systems at scale, and deploying to production environments.
Hands-on experience building machine learning pipelines and working with distributed data processing frameworks such as Apache Spark, Databricks, or similar.
Intermediate-level or greater experience with SQL or PySpark.
Preferred Qualifications: Curious and collaborative mindset
Ability to focus on simplicity, end-to-end visibility, and impact
Interest in building models with large-scale data, language models, and production deployment
Translation Company Name: Scribd, Inc.