Data Scientist II

About the role

The Applied Research team at Scribd, Inc. is seeking a Data Scientist II to develop and deploy machine learning models. This role focuses on content classification use cases and collaborates with cross-functional teams to solve complex problems at scale.

Responsibilities

• Focus on content classification use cases, leveraging various NLP techniques and sophisticated LLMs.
• Investigate and implement solutions for challenging problems at Scribd, scaling up to millions of documents and users.
• Collaborate with Data Scientists, Machine Learning Engineers, and ML Data Engineers on cross-functional projects.
• Leverage a wide array of algorithms and tools, including classical models, neural networks, and third-party LLM APIs.
• Process large datasets using Python, SQL, and Spark.
• Communicate project approaches and results clearly to stakeholders through written and verbal means.
• Document projects in a detailed, accurate, and concise manner.

Requirements

• 3+ years of post-qualification experience developing machine learning models and working with systems at scale.
• Proficiency in Python.
• Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark.
• Intermediate-level knowledge in classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, and generative models.
• Intermediate-level or greater experience with SQL or PySpark.
• A Bachelor's or Master's degree in a relevant quantitative discipline such as Statistics, Computer Science, Data Science, Artificial Intelligence, or a related field with a strong quantitative focus.

Qualifications

• Experience with machine learning models and systems at scale.
• Ability to work independently and in a team environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication and documentation skills.

Benefits

This position offers a competitive salary range, comprehensive benefits, and a flexible work model (Scribd Flex).