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 involves focusing on various content classification use cases, collaborating with cross-functional teams, and leveraging large datasets.

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 machine learning models, systems at scale, and deployment to production environments
• Strong proficiency in Python
• Hands-on experience with ML pipelines and distributed data processing frameworks
• Intermediate knowledge in classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, and generative models
• Intermediate to advanced skills in SQL or PySpark
• A relevant quantitative degree such as Statistics, Computer Science, Data Science, Artificial Intelligence, or a related field

Skills

• Expertise in machine learning and data science
• Experience with large-scale data processing and analysis
• Knowledge of natural language processing and generative models
• Ability to work collaboratively in cross-functional teams
• Strong communication and documentation skills

Benefits

• Scribd Flex (flexible work model)
• 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
• Retail 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

Pay

The reasonably expected salary range for this position is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California].

Schedule

Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.