Senior Data Scientist

Are you a Data Scientist with a strong quantitative foundation and hands-on experience in applied AI and LLM architecture? Do you enjoy bridging the gap between complex data solutions and business strategy by engaging directly with stakeholders? We are looking for a Senior Data Scientist (Applied AI) to join our team. In this role, you will lead end-to-end data science workstreams, perform feasibility assessments, and design modern AI-driven solutions—from core statistical modelling to production-grade LLM applications and agents. Your Role You will own data science workstreams end-to-end, serving as both a technical authority and a key driver for AI solution design. You will work directly with stakeholders to validate feasibility, design architectures, and deliver reliable, high-impact data and AI applications. What is it all about? Core Machine Learning & Time Series: Develop predictive models and feature engineering solutions, with a strong focus on time series, predictive analytics, and classical statistical inference. Applied AI & LLM Workflows: Build, evaluate, and deploy working LLM applications, including custom agents, retrieval-augmented generation (RAG) over text and document data, API integration, and structured workflows. Prompt Engineering & Evaluation: Design robust prompts and establish structured testing methodologies to ensure LLM outputs are accurate, consistent, and reliable. Cloud & Tech Ecosystem: Build primarily in Python, leveraging Azure AI Foundry for AI/ML development and Microsoft Copilot Studio for lighter agent workflows. Extract and query data across AWS (S3, Redshift) and Azure environments. Feasibility & Solution Design: Conduct early-stage feasibility assessments, shape technical approaches before development, and design viable, end-to-end data/AI architectures. Stakeholder Engagement: Work directly with technical and non-technical stakeholders to present findings clearly, translate business needs into technical solutions, and inform decisions through solid statistical reasoning. What do we expect from you? Education: MSs in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Data Science, etc.). PhD is a big plus. Experience: At least 5+ years of hands-on experience successfully delivering data science and machine learning projects end-to-end. Data Science & ML Core: Strong quantitative background with proficiency in statistical analysis (descriptive & inferential), time series, predictive modelling, feature engineering, and model validation. Applied AI Skills: Hands-on experience building LLM applications via APIs/connectors, implementing RAG architectures, prompt engineering, and building data-driven AI agents. Tech Stack & Cloud: High proficiency in Python. Experience with Azure (Azure AI Foundry, data stores), AWS (S3, Redshift for data retrieval), and familiarity with Microsoft Copilot Studio. Functional Capabilities: Strong critical thinking (validating both human and AI outputs), high autonomy, adaptability, and excellent stakeholder management skills. What Q offers you Flexible working hours & remote work, but restricted exclusively to working from Croatia, Serbia, or BiH (we do not offer a relocation option) Diverse international clients and high-impact projects Internal workshops and continuous professional development 100% paid sick leave Private health insurance MultiSport / PassSport card subsidy Meal allowance Transportation/WFH allowance Salary Range Our compensation model is based on your overall experience, depth of knowledge, and performance during the interview process. Up to €5,000.00 Gross 1 for the full-time engagement. Sounds like your next challenge? Click the button below and apply now! Originally posted on Himalayas