Data Scientist II
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Key skills for this role
About the Role
Scribd is looking for a Data Scientist II to develop and deploy machine learning models for content classification, recommendations, search, and more. You will work with massive datasets using Python, SQL, and Spark, collaborating with cross-functional teams.
Key Skills for This Role
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
- Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus
Full Job Posting
About Scribd, Inc.
- Scribd, Inc. is on a mission to advance human understanding through products like Scribd, Slideshare, Everand, and Fable.
- We support a culture where employees can be real and be bold, and we hire for GRIT.
About The Team
- The Applied Research team is a group of data scientists and content specialists expert in machine learning, NLP, and generative AI.
- We drive innovation in product surface experimentation, metadata generation, and model development.
- Our areas of impact include content enrichment, representation learning, recommendations, search, translation, and more.
Role Overview
- We are seeking a Data Scientist II with experience developing and deploying machine learning models.
- You will help design and implement high impact AI and ML systems in cross functional teams.
Responsibilities
- Focus on content classification use cases using traditional NLP to LLMs and generative models.
- Investigate methods to solve challenging problems at scale.
- Collaborate with Data Scientists, ML Engineers, and ML Data Engineers.
- Leverage algorithms from Scikit learn to PyTorch to third party LLM APIs.
- Process massive amounts of data with Python, SQL, and Spark.
- Communicate with stakeholders and write project documentation.
Requirements
- 3+ years of experience developing ML models and deploying to production.
- Proficiency in Python.
- Hands on experience with ML pipelines and distributed data processing (Spark, Databricks).
- Intermediate level in at least three of: classification, NLP, search, information retrieval, NER, deep learning, generative models.
- Intermediate SQL or PySpark.
- Bachelors or Masters in a quantitative discipline.
Compensation
- In Canada, the reasonably expected salary range is between CAD 123,000 and CAD 150,000.
- This position is also eligible for competitive equity ownership and comprehensive benefits.
Benefits at Scribd, Inc.
- Scribd Flex (flexible work model)
- Comprehensive health, dental, and vision coverage
- Mental health support and disability coverage
- Generous paid time off
- Paid parental leave and family support benefits
- Retirement matching and employee equity
- Learning and development programs
- Wellness and home office stipends
- Complimentary access to Scribd products
- Enterprise access to leading AI tools
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