Middle Data Scientist with NLP/LLM expertise (Data Competency Center) in Sigma Software

Join us at Sigma Software as a Data Scientist, where you’ll lead initiatives in Natural Language Processing (NLP) and Large Language Models (LLMs) within our Data Competency Center. This pivotal role involves driving solution assessment, engaging in pre-sales activities, and shaping architecture design, all while pushing the boundaries of NLP and LLM technologies.

PROJECT
We are a team of 160+ professionals. We are very different, but a few things make us a true team: a genuine passion for our work, friendliness, and inexhaustible optimism, no matter what.

As a Middle Data Scientist joining Data Competency Center, you will be pivotal in shaping and driving its endeavors.

RESPONSIBILITIES
— Collaborate closely with clients and Team Leads to precisely define technical requirements and expectations, particularly focusing on NLP and LLM technologies
— Lead the charge in translating complex business issues into clear, actionable NLP and LLM hypotheses and solutions
— Develop and implement cutting-edge NLP techniques and LLM frameworks (e.g., BERT, GPT, RAG) to analyze, generate, and interpret extensive natural language datasets
— Integrate classical machine learning methodologies, including statistical analysis, clustering, classification, and recommendation engines, into NLP solutions to enhance model performance and insights
— Manage the full lifecycle of NLP and LLM solutions, from data collection and preprocessing to model training, deployment, and maintenance
— Ensure seamless deployment of NLP and LLM models into production environments, maintaining scalability and performance
— Communicate complex NLP and LLM insights and model outcomes to stakeholders, effectively bridging technical solutions with business strategies
— Actively participate in the evaluation of new tools for analytical data engineering or data science

REQUIREMENTS
— Profound expertise in NLP and familiarity with LLMs, backed by solid experience in Python
— Demonstrated ability to deploy NLP models to address real-world challenges, with a strong foundation in classical ML techniques and various data sources
— Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to articulate model outcomes and insights effectively
— A robust portfolio of projects showcasing the application of NLP and classical ML techniques to derive actionable insights from diverse data sources
— Continuous learner, keen on staying updated with the latest in NLP, and LLM advancements
— English proficiency: Confident Intermediate level or higher (both written and spoken)

WOULD BE A PLUS:
— AWS/Azure general understanding and experience
— Upper-Intermediate level of English

Приєднуйся до нас у Sigma Software на посаду Data Scientist, де ти будеш керувати ініціативами в галузі обробки природної мови (NLP) та великих мовних моделей (LLM) у нашому Центрі компетенцій з обробки даних. Ця посада передбачає оцінку рішень, участь у передпродаactivities and architecture formation, pushing the boundaries of NLP and LLM technologies.

PROJECT
We are a team of 160+ professionals. We are very different, but several things make us a real team: genuine passion for our work, friendliness and inexhaustible optimism, no matter what.

Joining the Data Competency Center as a Middle Data Scientist, you will play a decisive role in the formation and development of its activities.

RESPONSIBILITIES
—Work closely with clients and team leads to accurately define technical requirements and expectations, with a particular focus on NLP and LLM technologies
— Lead the process of transforming complex business problems into clear, actionable hypotheses and solutions based on NLP and LLM
- Develop and implement advanced NLP techniques and LLM frameworks (e.g. BERT, GPT, RAG) to analyze, generate and interpret large datasets natural language data
—Integrate classic machine learning methodologies, including statistical analysis, clustering, classification, and recommendation engines, into NLP solutions to improve model performance and gain deeper insights
—Manage the full lifecycle of NLP solutions and LLM, from data collection and preprocessing to model training, deployment, and maintenance
—Ensure seamless deployment of NLP and LLM models in production environments while supporting scalability and performance
—Communicate complex NLP and LLM insights and modeling results to stakeholders, effectively aligning technical solutions with business strategies
— Actively participate in the evaluation of new tools for analytical data engineering or data science

REQUIREMENTS
— Deep expertise in NLP and LLM knowledge supported by significant Python experience
— Ability to effectively implement NLP models to solve real-world problems with deep knowledge of classical machine learning techniques and diverse data sources
— Proficiency in visualization tools data (e.g., Matplotlib, Seaborn, Tableau, Power BI) to effectively formulate modeling results and insights
—A solid portfolio of projects demonstrating the application of NLP and classic ML techniques to derive actionable insights from a variety of data sources
— Continuous learning, desire to stay up-to-date with the latest developments in the field of NLP and LLM
- English Language: Confident Intermediate level or above (both written and spoken)

WILL BE AN ADVANTAGE:
—General understanding and experience with AWS/Azure
—Upper-Intermediate English proficiency level