Data Scientist II

About the role

The Applied Research team at Scribd, Inc. is seeking a Data Scientist II to develop and deploy machine learning models. This role focuses on content classification use cases and collaborates with cross-functional teams to solve complex problems at scale.

Responsibilities

• Focus on a variety of content classification use cases, leveraging traditional NLP and sophisticated LLMs and generative models.
• Investigate methods to solve 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 degree in relevant quantitative disciplines such as 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 as part of a team.
• Excellent communication and collaboration skills.
• Ability to manage multiple projects simultaneously and meet deadlines.

Skills

• Expertise in machine learning algorithms and models.
• Knowledge of natural language processing techniques.
• Experience with generative models and AI.
• SQL and PySpark proficiency.
• Experience with distributed computing frameworks.

Benefits

• 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.

Pay

The base pay for this role is determined within a range based on local cost of labor benchmarks. 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

This role offers a flexible schedule through Scribd Flex, allowing employees to choose the workstyle and location that supports their best performance while committing to occasional in-person attendance.

Location

To be considered for this role, you must be based in a location where Scribd, Inc. can employ you. This includes surrounding metro areas or locations within a typical commuting distance:

• United States: Atlanta, Austin, Boston, Dallas, Denver, Chicago, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C.
• Canada: Ottawa, Toronto, Vancouver
• Mexico: Mexico City

Contact

If you have any questions about this role, please email us at careers@scribd.com.