NICE
Data Scientist
NICE, Sandy Springs, Georgia, United States,
NICE Customer Engagement Analytics is looking for a 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 a strong foundation in machine learning and deep learning, as well as the curiosity and grit to see a project to delivery.Responsibilities
Explore high-level, undefined ideas and business problems using structured and unstructured data.Develop product offerings through careful consideration of business value and data analysis.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.Minimum Skills and Experience
Minimum of 2 years of experience implementing machine learning and NLP models using real-life (“industry”) data.Experience working with deep learning models.Excellent proficiency in Python programming.Advanced knowledge of statistics.Excellent communication and presentation abilities.Additional Desired Skills and Experience
Proficiency with one or more deep learning libraries (PyTorch, TensorFlow, JAX, etc.).Experience deploying NLP models in production environments, ensuring scalability and performance.Experience with building and/or fine-tuning large language models.Experience as part of a software organization.*This role can be hybrid in either Sandy, UT or Sandy Springs, GA.*
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Explore high-level, undefined ideas and business problems using structured and unstructured data.Develop product offerings through careful consideration of business value and data analysis.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.Minimum Skills and Experience
Minimum of 2 years of experience implementing machine learning and NLP models using real-life (“industry”) data.Experience working with deep learning models.Excellent proficiency in Python programming.Advanced knowledge of statistics.Excellent communication and presentation abilities.Additional Desired Skills and Experience
Proficiency with one or more deep learning libraries (PyTorch, TensorFlow, JAX, etc.).Experience deploying NLP models in production environments, ensuring scalability and performance.Experience with building and/or fine-tuning large language models.Experience as part of a software organization.*This role can be hybrid in either Sandy, UT or Sandy Springs, GA.*
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