Data Scientist II: Flexible ML & NLP at Scale

Scribd, Inc.; Washington (Washington County); On-site; USD 97,000 - 175,000; Full time

Benefits offered by this job

Flex work model

Health & Vision

Mental health support

Generous PTO

Parental leave

Equity plan

Learning programs

Wellness stipend

Product suite access

AI tools access

Job summary

Scribd, Inc. is seeking a Data Scientist II to design and deploy ML models at scale, leveraging NLP, language models, and cross‑functional collaboration with ML Engineers, Data Engineers and Product teams.

The role emphasizes building scalable models using massive data, with Python, Spark, and SQL, and integrating with production systems while maintaining clear documentation and stakeholder communication.

Qualifications

• 3+ years of post-qualification experience building ML models at scale.
• Proficiency in Python and common ML libraries.
• Experience with distributed data processing and NLP, search or information retrieval.

Responsibilities

• Focus on content classification using NLP, LLMs, and generative models.
• Scale experiments and deploy ML models in production.
• Collaborate with Data Scientists, ML Engineers and Product teams.
• Utilize Scikit-learn, NumPy, PyTorch and external LLM APIs as needed.
• Process large data with Python, SQL and Spark; document methodologies clearly.
• Communicate approaches and results to stakeholders with concise reports.

Skills

Python

NLP

SQL

Spark

Education

Bachelor's or Master's in quantitative field

Tools

Databricks

Scikit-learn

NumPy

PyTorch

LLM APIs

Job description

Scribd, Inc. is seeking a Data Scientist II to design and deploy ML models at scale, leveraging NLP, language models, and cross‑functional collaboration with ML Engineers, Data Engineers and Product teams.

The role emphasizes building scalable models using massive data, with Python, Spark, and SQL, and integrating with production systems while maintaining clear documentation and stakeholder communication.