Data Scientist II

About Scribd, Inc.

Scribd, Inc. aims to enhance human understanding globally through its four products: Scribd®, Slideshare®, Everand™, and Fable, helping billions transition from access to deep insight and expertise.

Company Culture

We nurture a workplace where authenticity and boldness flourish, encouraging debate and commitment while embracing unexpected challenges. Employees are empowered to act with the customer as a priority. Scribd Flex allows staff to select work styles and locations that maximize their performance while maintaining purposeful in-person interaction to sustain collaboration and company culture. Occasional physical presence is required of all employees regardless of location.

Core Values

We emphasize "GRIT"—a blend of passion and perseverance towards long-term objectives—manifested as setting and achieving Goals, delivering Results, fostering Innovation, and bolstering Teamwork.

About The Team

The Applied Research team consists of data scientists and content experts who employ machine learning, natural language processing, and generative AI to create impactful user and business solutions. We are innovators collaborating closely with Product and Engineering in cross-functional squads to maximize impact across content enrichment, representation learning, recommendations, search, translation, and more across diverse text, image, and audio media. Our scale involves hundreds of millions of documents and billions of user interactions.

Role Overview

We seek a Data Scientist II experienced in designing, deploying, and scaling machine learning models. This role involves close collaboration with ML Engineers, Data Engineers, and Product teams to create impactful AI/ML solutions emphasizing simplicity, end-to-end oversight, and effective deployment of large-scale language models.

Responsibilities

• Develop and apply diverse content classification techniques using traditional NLP, large language models, and generative AI.
• Address complex, large-scale challenges unique to Scribd with innovative approaches.
• Collaborate across disciplines with Data Scientists, ML Engineers, and Data Engineers on shared projects.
• Utilize a wide range of algorithms, from classical Scikit-learn and NumPy methods to custom neural networks implemented in PyTorch, including integration with external LLM APIs.
• Handle and process very large datasets using Python, SQL, and Spark technologies.
• Communicate project methodologies and outcomes clearly and effectively, maintaining precise and concise documentation.

Requirements

• A minimum of three years post-qualification experience in developing, deploying, and managing machine learning models at scale in production environments.
• Proficient programming skills in Python.
• Experience building machine learning pipelines and working with distributed data processing frameworks such as Apache Spark or Databricks.
• Intermediate expertise in at least three areas among classification algorithms, NLP, search, information retrieval, named entity recognition, deep learning, and generative modeling.
• Competency in SQL or PySpark at an intermediate level or higher.
• Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Artificial Intelligence, or other quantitatively focused fields.

Compensation and Location

Salary ranges depend on location and market benchmarks. In Canada, expected compensation is from 123000 to 150000 CAD annually, accompanied by competitive equity options and a comprehensive benefits package.

Work Location

Employees must primarily reside near specified cities within the US (e.g., New York, San Francisco), Canada (Ottawa, Toronto, Vancouver), or Mexico City in Mexico.

Benefits

• Flexible working model via Scribd Flex.
• Inclusive health, dental, vision, mental health, and disability insurance.
• Ample paid time off including vacation, sick leave, holidays, winter break, volunteer time, and sabbaticals.
• Paid parental leave and family support offerings.
• Retirement matching and employee equity opportunities.
• Programs for professional development and growth.
• Wellness and home office allowances.
• Free access to Scribd’s product suite.
• Enterprise-level access to top AI tools.

Equal Opportunity and Accessibility

Scribd is dedicated to providing equal employment opportunities regardless of any legally protected status and strives for diversity in perspectives. Reasonable accommodations in the interview process are available upon request. Personal data for job applicants will be handled according to the company's privacy policies.