NeverHard

Data Scientist II at Scribd, Inc. — NeverHard

Data Scientist II at Scribd, Inc. in Greater Vancouver, British Columbia. Skills: Communication, Generative AI, Large Language Models, Machine Learning, NLP. Apply on NeverHard.

Company
Scribd, Inc.
Location
Greater Vancouver, British Columbia
Type
not_specified

Required skills:

Role Overview We are seeking a Data Scientist II with experience developing and deploying machine learning models to design and implement high‑impact AI and ML systems. The role involves close collaboration with Machine Learning Engineers, Data Engineers, and Product teams to build models using massive amounts of data, large language models, and generative AI. 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 on the approaches and results of projects, while documenting findings in 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 such as Apache Spark, Databricks, or similar. Intermediate level in at least three of the following 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 a quantitative discipline (Statistics, Computer Science, Data Science, Artificial Intelligence, or a comparable field). Compensation Base salary ranges: SanFrancisco – $118,000 to $184,000; other U.S. locations – $97,000 to $175,000; Canada – 123,000CAD to 150,000CAD. Salary is determined by role, level, and location, and is part of a comprehensive compensation package that includes equity and benefits. Benefits Flexible work model (ScribdFlex). Comprehensive health, dental, vision, mental health, 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 Scribd products and enterprise AI tools. Equal Employment Opportunity Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences creates a foundation for the best ideas. #J-18808-Ljbffr