Specialist Data Scientist

Summary

Join NICE, a global leader in AI and analytics for business communications, and contribute to cutting-edge research and development of NLP algorithms and models. You will build and fine-tune deep learning and machine learning models, focusing on large language models. Collaborate with stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Present findings to both technical and non-technical audiences. Maintain and improve model automation and documentation. Stay current on advancements in data science and contribute to the company's knowledge base.

Requirements

• Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience
• Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data
• Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps
• Advanced knowledge of statistics and machine learning algorithms
• Proficiency in Python programming and familiarity with R
• Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX
• Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge
• Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.)
• Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure
• Strong verbal and written communication skills, including effective presentation abilities
• Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills

Responsibilities

• Conduct cutting-edge research and develop advanced NLP algorithms and models
• Build and fine-tune deep learning and machine learning models, with a focus on large language models
• Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives
• Develop AI predictive models and perform data and model accuracy analyses
• Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders
• Develop and maintain scripts/tools to automate both new model production and updates to existing model packages
• Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base
• Collaborate with developers to design automation and tool improvements for model building
• Maintain documentation of processes and projects across all supported languages and environments

Preferred Qualifications

• Expertise with Big Data technologies (e.g., PySpark)
• Background in knowledge graphs, graph databases, or GraphRAG architectures
• Understanding of multimodal models (text, audio, vision)
• Experience in Customer Experience domains
• Experience with package development and technical writing
• Familiarity with tools like Jira, Confluence, and source control packages and methodology
• Knowledge and interest in foreign languages and linguistics
• Experience working on international, globe-spanning teams and with AWS
• Past participation in a formal research setting
• Experience as part of a software organization

Benefits

• Enjoy NICE-FLEX!
• At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week