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# Data Scientist II

- **Company:** Scribd Inc.
- **Location:** Salt Lake City, UT, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $118,000 - $184,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Distributed Computing Environment, Information Retrieval, Python (Programming Language), Machine Learning, Metadata, Language Modeling, Natural Language Processing, Named Entity Recognition, NumPy, SQL Databases, Pytorch, Large Language Models, Apache Spark, Deep Learning, Generative AI, Pyspark, Scikit Learn, Information Technology, Machine Learning Operations, Databricks
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-ii-salt-lake-city-ut--92e8676e-f8e8-4550-9206-d1ebfc8645bf

## About the Role

Data Science, Establish Priorities, Set Goals, Data Science, Machine Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Metadata, Cross-Functional, Product Engineering, We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models., * 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.
 * Bachelors 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.

## Description

* 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