NICE Customer Engagement Analytics is looking for a Senior Data Scientist to join our team. You will play a vital role in enhancing our contact center solutions through the development of advanced NLP algorithms and models. You will work in a collaborative team environment to explore and create solutions to industry problems using machine learning and state-of-the-art large language models. You bring to this team environment several years' experience in deep learning using the latest in transformer-based NLP architectures, as well as the curiosity and grit to see a project to delivery.
Responsibilities
- Conduct cutting-edge research and develop advanced NLP algorithms and models
- Build and fine-tune deep learning and machine learning models, with an emphasis on large language models
- Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders
- Collaborate closely with business stakeholders to ensure model effectiveness and alignment with business objectives
- Stay abreast of the latest advancements in NLP research and contribute to the development of our knowledge base
Minimum Skills and Experience
- Minimum of 3 years of experience working with deep learning models using real-life ("industry") data
- Excellent proficiency in Python programming and one or more deep learning libraries (PyTorch, TensorFlow, JAX, etc.)
- Experience with building and/or fine-tuning large language models, as well as traditional machine learning models
- Strong research skills, with a proven track record of developing and implementing NLP algorithms
- Excellent communication and presentation abilities
Additional Desired Skills and Experience
- Advanced degree(s) in a STEM field: Computational Linguistics, Computer Science, Math, Engineering, etc.
- Experience deploying NLP models in production environments, ensuring scalability and performance
- Published research papers in the field of NLP or related areas
- Experience working on international, globe-spanning teams
- Experience as part of a software organization