обновлено 2 дня назад
Data Science Lead
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Lead (LLM/NLP): Defining and governing data science practices for Neo’s group-wide AI platform with an accent on experimentation frameworks, model evaluation, and reliable AI behaviour. Focus on evaluating prompts and LLMs, improving retrieval augmented systems, and preparing models for enterprise-grade production integration.
Location: Wroclaw, Gdansk, Poznan, Lublin, Opole, Warszawa, Katowice, Wrocław, Kraków, Gdańsk, Poznań, Bydgoszcz, Poland
Company
is a global technology services company delivering strategy, design, engineering, AI, cloud, and data solutions across more than 50 countries.
What you will do
- Lead data science activities across multiple Neo platform streams.
- Define experimentation frameworks, test protocols, evaluation strategies, and model quality standards.
- Establish practices for prompt evaluation, feasibility assessment, and iterative model improvement.
- Oversee how AI models interact with Neo’s knowledge base to maintain accuracy, relevance, and controlled behaviour.
- Guide Data Scientists in refining models based on feature requirements and platform constraints.
- Collaborate with product, engineering, architecture, and knowledge teams to prepare models for production integration.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field.
- 7+ years of experience in Data Science.
- Strong experience with NLP, retrieval augmented systems, LLMs, or applied AI solutions.
- Experience leading Data Science teams and defining experimentation and evaluation frameworks.
- Knowledge of LLMs, embeddings, vector search, and model evaluation techniques.
- Hands-on experience with Python, notebooks, and AI experimentation tooling.
Culture & Benefits
- Collaborative work with product, engineering, architecture, and knowledge teams.
- Flexible working arrangements and a supportive environment for continuous development.
- Career growth programs and access to a global professional community.
- Opportunity to define data science standards for an AI platform at an early, high-impact stage.
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