Data Scientist II

About the role

The Applied Research team at Scribd, Inc. is seeking a Data Scientist II to help design and implement high impact AI and ML systems. This role focuses on content classification use cases, leveraging various machine learning models and collaborating with cross-functional teams.

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

Requirements

• 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 relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus

Qualifications

• Experience with large-scale data processing and analysis
• Strong problem-solving skills and ability to work independently and collaboratively
• Excellent communication and presentation skills
• Ability to manage multiple projects and priorities

Skills

• Expertise in machine learning and data science
• Knowledge of natural language processing and generative models
• Experience with Python, SQL, and Spark
• Understanding of machine learning libraries such as Scikit-learn and PyTorch
• Experience with large datasets and scalable systems

Benefits

We offer a comprehensive and generous benefits package including:

• Comprehensive health, dental, and vision coverage
• Mental health support and disability coverage
• Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
• Paid parental leave and family support benefits
• Retailer retirement matching and employee equity
• Learning and development programs and professional growth opportunities
• Wellness and home office stipends
• Complimentary access to the Scribd, Inc. suite of products
• Enterprise access to leading AI tools