Data Scientist II

Data Scientist II at Scribd, Inc. is tasked with designing and deploying high-impact AI and ML systems, collaborating with cross-functional teams to build models from large-scale data and language models.

Position Details

• Location: Dallas, TX (onsite)
• Salary: USD 118,000 - 150,000 per year
• Experience: 3+ years of post-qualification experience
• Education: Bachelor's or Master's degree

Responsibilities

• Work on content classification use cases across traditional NLP, large language models, and generative systems
• Explore scalable approaches to address Scribd's most challenging problems
• Collaborate with Data Scientists, ML Engineers, and ML Data Engineers on cross-functional projects
• Utilize a range of algorithms from classical Scikit-learn and NumPy models to PyTorch neural networks and third party LLM APIs
• Process large volumes of data with Python, SQL, and Spark
• Communicate approaches and results to stakeholders in writing and verbally, and maintain precise project documentation

Requirements

• 3+ years of post-qualification experience building ML models, operating at scale, and deploying to production environments
• Proficiency in Python
• Hands-on experience developing ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar
• Intermediate level in at least three areas: classification algorithms, natural language processing, search and information retrieval, named entity recognition, deep learning, or generative models
• Intermediate level or greater experience with SQL or PySpark
• Bachelors or Masters in a quantitative field such as Statistics, Computer Science, Data Science, Artificial Intelligence, or another discipline with a strong quantitative focus

Technologies

• Python
• Apache Spark
• Databricks
• Scikit-learn
• NumPy
• PyTorch
• SQL
• PySpark
• Third party LLM APIs

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
• 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