Senior Data Scientist, Rakuten Kobo

• Rakuten Kobo Inc. is seeking a highly skilled and experienced Senior Data Scientist with a strong background in Natural Language Processing (NLP) and Large Language Models (LLM) to join our dynamic team
• Masters or Ph.D. in Computer Science, Data Science, Statistics, or a related field
• Strong programming skills in languages such as Python, with experience in building and deploying predictive models
• Proven experience as a Data Scientist with a focus on NLP and LLM solutions
• Expertise in open-source Python libraries for processing unstructured text
• Experience working in an Agile environment and familiarity with MLOps practices
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
• Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to a non-technical audience

Desirable

• In this role, you will be responsible for developing state-of-the-art NLP solutions and generating actionable insights from extensive unstructured text data
• You will work closely with cross-functional teams to enhance our products and services, driving user engagement and satisfaction
• Develop and implement advanced NLP and LLM solutions to extract meaningful insights from large datasets of unstructured text
• Analyze and interpret complex data to identify trends, patterns, and opportunities for product improvement
• Design and build models and algorithms to enhance user experience through personalized content and recommendations
• Collaborate with data engineers, software developers, and product managers to integrate NLP solutions into our products
• Stay up-to-date with the latest advancements in NLP, LLMs, and related technologies by studying scientific research papers, attending conferences, and innovating the in the relevant fields to ensure our solutions are at the cutting edge
• Utilize open-source Python libraries, such as NLTK, Gensim, SpaCy, OpenAI APIs, and Hugging Face APIs to develop, evaluate, and deploy NLP models and LLM-based applications
• Communicate findings and insights effectively to non-technical stakeholders
• Provide technical leadership and mentorship to junior data scientists and analysts