SENIOR DATA SCIENTIST

SENIOR DATA SCIENTIST (HYBRID LISBON)Portuguese company hires for hybrid position 📍 Location: Lisbon, Portugal (2–3 days per week onsite)⚠️ Only candidates already based in Portugal will be considered.🗣️ Language Requirements: Fluent English 🕓 Seniority: Up to 10 years📎 Hiring Model: B2B💼 Client Sector: Energy ⚠ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success_________________________________________________________________⚠️ Important: All mandatory requirements listed below must be clearly stated in the CV. Applications that do not explicitly include the required experience and skills will not be considered.Role OverviewWe are looking for a Senior Data Scientist to design, build, and deploy advanced analytical and AI-driven solutions. This role involves working with complex models, including combinatorial models, deep learning, and Generative AI, applied to both structured and unstructured data.The professional will contribute to end-to-end solutions, from model design and experimentation to production deployment, leveraging Python, R, and cloud-based PaaS services (preferably Azure). A strong focus will be placed on GenAI use cases, such as LLMs, diffusion models, intelligent copilots, and autonomous agents.Main Responsibilities & Deliverables·         Design and implement highly complex analytical models, including:*    Combinatorial optimization models*    Deep learning models for structured and unstructured data·         Develop solutions using Python and/or R, and advanced cloud PaaS services (preferably Azure)·         Build and deploy Generative AI solutions, including:*    Text generation and summarization*    Contextual classification*    Image generation*    Intelligent copilots and autonomous agents·         Develop robust ML pipelines, including:*    Data preprocessing*    Fine-tuning of foundation models (e.g. LLaMA, Mistral, T5)*    Model evaluation using metrics such as BLEU, ROUGE, perplexity*    Controlled deployment via APIs·         Ensure production-grade ML engineering practices, including lifecycle management, monitoring, and quality assuranceTechnical Skills (Mandatory)·         Degree in Software Engineering, Computer Engineering, or a related field·         Strong experience developing Machine Learning projects using Python, R, or SAS·         Proven experience deploying ML models to production and managing the full model lifecycle·         Hands-on experience with ML frameworks, such as PyTorch and TensorFlow·         Strong knowledge of relational and NoSQL databases·         Experience building AI-driven analytical solutions·         Strong analytical, critical thinking, and problem-solving skills·         Ability to work in collaborative, international environments·         Commitment to high-quality deliveries·         English fluency (written and spoken)Nice to Have·         Knowledge of the Energy & Utilities sector·         Familiarity with GDPR·         Experience working with Agile methodologies and tools such as JIRA and Confluence·         Experience in strategic or large-scale projects·         Knowledge of Portuguese and/or Spanish·         Experience developing interactive data visualization solutions to present complex analytical resultsLanguage Requirements·         English: Mandatory·         Portuguese: Nice to have·         Spanish: Nice to haveSoft Skills·         Excellent communication skills, both technical and non-technical·         Strong collaboration and teamwork abilities·         Structured and results-oriented mindset·         Ability to translate complex models into business-relevant insightsKeywords (must appear in the CV)Senior Data Scientist, Data Science, Machine Learning, Deep Learning, Generative AI, GenAI, LLMs, Diffusion Models, Python, R, SAS, PyTorch, TensorFlow, Model Deployment, MLOps, Model Lifecycle Management, Relational Databases, NoSQL, Azure, Cloud PaaS, Data Pipelines, AI Solutions, Energy Sector, Lisbon, Hybrid Work#00324699