SENIOR DATA SCIENTIST

Pivotics is an AI software design and implementation company with the headquarters based in Las Vegas (Nevada) and one of its R&D offices located in Poland.

We are seeking a Senior NLP Data Scientist/ AI Engineer to work on cutting-edge AI technology projects in the Medical, Retail, and Manufacturing fields. The ideal candidate must be familiar with all aspects of NLP models, including Deep Learning, transformers, LLM, Prompt Engineering and generative AI.

Required qualifications:

• B.Sc. in Computer Science or Applied Mathematics or related fields with a mathematical background and experience in solving applied problems using ANN technologies
• Knowledge of a variety of Natural Language Processing techniques and their real-world applications (sentiment analysis, transformers, etc., task-oriented dialog systems)
• Proficiency in modern Python language
• Solid software engineering skills for prototyping
• The candidate should have the ability to deliver a full-cycle data science product – from task statement and research to the model, ready for production implementation
• Excellent communication and interpersonal skills
• The candidate should have a minimum of 2 years of industry experience building ML/NLP systems
• Knowledge of one of the Deep Learning frameworks: PyTorch, Tensorflow, Keras
• Ability to extract solvable sub-tasks from the big common project goal, formulate a problem in ML terms, evaluate the result
• Ability to work with research papers and SOTA in the field, select appropriate algorithms that suit best for the task solving
• Strong problem solving, time-management, organizational and project-management skills
• Interest and ability to work in a close, interdependent team of data analysts and business owners
• Fluent English speaker (upper-intermediate and higher)

Would be a plus:

• Master's or Ph.D. in Natural Language Processing, Data Science, Linguistics, Computer Science, or another quantitative field
• C++ knowledge
• Ability to work with Big Data
• Production experience solving named entity recognition tasks, sentiment analysis, developing chat-bots

Responsibilities:

• The NLP project will be based on deep learning and related to the majority of tasks in the field, including topic modeling, information retrieval, classification, named entity recognition etc.
• Apply Natural Language Processing techniques and statistical analysis to extract and validate data
• Work closely with customer to convert business problems to data science tasks
• Deliver full-cycle data science product
• Provide NLP expertise to the company DA team

Benefits & perks:

• Friendly and united international team of colleagues
• Remote working model
• Flexible time schedule
• Corporate events' celebrations, outdoor activities