Lead Data Scientist

Job Title: Data Scientist Team LeadLocation: Lisbon, PortugalWork model: Full-time, Hybrid (2x office per week)About MozaydoMozaydo was built by people who believe work should feel human - even when powered by technology.We’re a remote-first company that connects talent, technology, and purpose to help companies grow sustainably.Here, ownership matters more than control, and progress matters more than perfection.People powered. Technology enabled.About the RoleWe’re expanding our Data Science capacity to support our customers.The ideal candidate will lead the design and implementation of Generative AI systems, advanced predictive models, and large-scale analytics pipelines across cloud environments.ResponsibilitiesDesign and develop Generative AI solutions, including models leveraging transformers, embeddings, and LLM-based pipelines;Build and optimize traditional Machine Learning models (classification, regression, clustering, etc.);Explore, transform, and prepare data using best practices in feature engineering and data manipulation;Ensure reproducibility and automation of ML pipelines using MLOps (MLflow, CI/CD, model monitoring, versioning);Lead technical communication with internal stakeholders, providing clear analytical insights focused on business impact;Stay ahead of industry trends in AI, machine learning, cloud, and model governance;Manage and mentor a growing team, fostering technical excellence, collaboration, and best practices;Engage in pre-sales activities, contributing to proposals and technical scoping for potential clients.RequirementsDegree or Master’s in Computer Science, Engineering, Applied Mathematics, Data Science, or similar fields;5+ years of experience as a Data Scientist, including end-to-end project delivery;Proven experience leading data science teams, mentoring, or technically guiding peers;Hands-on experience building Generative AI solutions, using: Transformers, embeddings, prompt engineering.Strong knowledge of traditional ML (supervised and unsupervised learning);Proficiency in Python, including numpy, pandas, scikit-learn, matplotlib and seaborn;Experience with PySpark and handling large-scale datasets;Practical knowledge of MLOps, model deployment and monitoring (e.g., MLflow);Hands-on experience with cloud environments, namely: Azure (e.g., Azure Machine Learning, Data Factory); GCP (e.g., Vertex AI, BigQuery); AWS (e.g., SageMaker, S3);Fluent English.Nice to haveExperience with open-source LLMs (LLaMA, Mistral, Falcon);Knowledge of frameworks such as LangChain, LangSmith or LlamaIndex;Relevant cloud certifications (e.g., Azure AI Engineer Associate, AWS ML Specialty, GCP Data Engineer);Ability to define and implement best practices in Data Science and AI governance;Awareness of data ethics, algorithmic bias and privacy considerations;Previous experience in energy sector projects is a strong plus.What We OfferFlexible work.Culture of autonomy and trust.Challenging and human projects.Opportunities for growth and continuous learning.Hiring ProcessOur hiring process is designed to ensure the best match between talent and opportunity. Steps may vary slightly depending on the specific role.Introductory Meeting with Mozaydo - to get to know you, your experience, and career goals.Client Interview - a conversation with the client to explore alignment with the role and team.Technical Assessment - evaluation of specific skills and expertise, when relevant.Final Interview (Cultural Fit) - focused on values, mindset, and collaboration style.