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Data Scientist
Scribd · Dallas, United States
About The Role
Join Scribd as a Data Scientist, where you will design and implement high-impact AI and ML systems. Collaborate with cross-functional teams, focus on content classification use cases, and leverage various algorithms and data processing tools. Enjoy a comprehensive benefits package, including healthcare coverage, paid parental leave, and a free subscription to Scribd.
- Design and implement high-impact AI and ML systems, focusing on content classification use cases.
- Collaborate with cross-functional teams, including Machine Learning Engineers, Data Engineers, and Product teams, to solve challenging problems.
- Leverage a variety of algorithms and tools, from classical models to custom Neural Networks, to process massive amounts of data.
- Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar
- 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
- We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models
- Intermediate level or greater experience with SQL or PySpark
- Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models
- 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments
- We are seeking a Data Scientist II with experience developing and deploying machine learning models
- Proficiency in Python
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