Data Scientist, SAMBA
- Analyze customer data for segmentation, clustering, acquisition, retention, engagement, and recommendations
- Perform content evaluation, apply natural language processing, analyze attributes and representations (in text, audio, cover art), generate content recommendations, and identify trends
- Conduct product-related analyses including user click stream analysis, search engine optimization, and product recommendations
- Evaluate marketing performance across earned, paid, and owned media evaluation
- MSc in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- Experience in understanding of standard data structures, algorithms, and software development
- Fluency in Python, SQL or similar scripting languages
- Algorithm development experience
- Breadth in ML technologies
- Experience in employing LLMs/GenAI to solve problems
- PhD in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- 1+ years of industry experience in Deep Learning, Natural Language Processing/Understanding, Reinforcement Learning and/or GenAI
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with Agile Software Development
- Experience with programming in at least one compiled programming language such as Java, C++, C#
- Publications at top-tier peer-reviewed conferences or journals
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