Data Analyst (AI experience)

Telesens is looking for a Data Analyst with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Linguistics to support data-driven insights and model evaluations in AI and language technology projects. 

The ideal candidate will have a strong background in linguistics, text analytics, and NLP pipelines, along with the ability to analyze, interpret, and optimize language model performance.

This role involves working closely with data scientists, computational linguists, and AI software engineers to extract insights from textual data, assess LLM outputs, and improve AI-driven applications such as chatbots, speech systems, and knowledge retrieval tools.

Qualifications:
- bachelor’s or Master’s degree in Linguistics, Computational Linguistics, Data Science, AI, or a related field;
- strong understanding of LLMs, NLP concepts, and text analytics;
- experience with Python and NLP libraries (spaCy, NLTK, Hugging Face Transformers, OpenAI API);
- proficiency in SQL and working with structured and unstructured text data;
- familiarity with data visualization tools and reporting dashboards;
- ability to conduct quantitative and qualitative linguistic analysis.

Key Competencies:
- analytical thinking: ability to extract meaningful insights from large-scale text data;
- linguistic expertise: deep understanding of language structures and variations;
- technical proficiency: hands-on experience with NLP tools, LLM APIs, and data visualization;
- collaboration: work effectively with data scientists, engineers, and linguists;
- problem-solving: address challenges in AI-generated text accuracy, fairness, and efficiency.

Responsibilities:

Data Analysis & NLP Evaluation:
- analyze large-scale textual and linguistic datasets to identify patterns, biases, and areas for improvement in LLMs;
- evaluate NLP model performance, including sentiment analysis, named entity recognition (NER), text classification, and summarization;
- develop and apply linguistic metrics to assess model fluency, coherence, and grammatical correctness;
- conduct error analysis on AI-generated text to refine model training data and fine-tune outputs.

Data Processing & Visualization:
- clean, preprocess, and structure unstructured text data for AI/ML applications;
- use data visualization tools (Tableau, Power BI, matplotlib, seaborn) to present linguistic trends and NLP model performance insights;
- assist in feature engineering for NLP tasks, including tokenization, lemmatization, and vectorization.

LLM & NLP Model Support:
- work with LLMs (e.g., GPT, BERT, LLaMA, T5) to analyze output quality and linguistic behavior;
- collaborate with engineers on prompt engineering, retrieval-augmented generation (RAG), and knowledge base integration;
- contribute to the development of multilingual NLP applications, ensuring high accuracy across different languages and dialects.

Linguistic Expertise & Research:
- apply linguistic principles (syntax, semantics, pragmatics, phonetics) to optimize NLP pipelines;
- conduct research on bias detection, fairness, and ethical AI in language models;
- assist in annotating and curating linguistic datasets for fine-tuning models in specific domains.

Will be a plus:
- experience with LangChain and vector databases for NLP-driven applications;
- knowledge of speech processing (STT, TTS) and phonetics-based text analysis;
- background in multilingual NLP, including working with low-resource languages;
- experience with A/B testing and user experience analysis for AI-driven applications;
- understanding of ethical AI concerns, including bias mitigation and responsible AI practices.

Направляючи резюме, я відповідно до Закону України «Про захист персональних даних» від 01.06.2010 № 2297-VI, в якості суб’єкта персональних даних, надаю ТОВ «Телесенс ІТ» свою повну, однозначну, добровільну та інформовану згоду на обробку моїх персональних даних, зазначених в резюме з попередньо визначеною, сформульованою та повідомленою мені метою підтвердження відповідності кваліфікації суб’єкта наявним у ТОВ «Телесенс ІТ» вакансіям та/або занесення персональних даних суб’єкта в базу даних потенційних контрагентів ТОВ «Телесенс ІТ».