Guardar Back to Search Descrição Resumo Ofertas Semelhantes Added 25/06/2026Career progressionFlexible workSobre o nosso clienteOur client is a large organization operating in the FMCG industry, leveraging advanced technology to optimize processes and deliver exceptional products. The company is committed to innovation and provides a collaborative environment for professionals to thrive.DescriçãoRequired Technical SkillsStrong SQL expertise, with extensive experience using Snowflake or similar data platformsAdvanced Python programming skills, including strong knowledge of Pandas, Scikit-learn, data analysis, and feature engineeringExperience with workflow orchestration tools such as Airflow or similarExperience building production ML pipelines and scalable data workflowsFamiliarity with modern MLOps and cloud tooling, including MLflow, feature stores, AWS SageMaker, and Amazon S3Strong knowledge of supervised learning, recommendation systems, and time series forecastingAbility to research, evaluate, and improve ML models based on business needsSoftware Engineering & MLOpsStrong understanding of software engineering best practices, including Git workflows, pull request reviews, CI/CD, Docker, testing, data integrity validation, and dependency/environment managementExperience writing clean, maintainable, and production-grade codeAbility to balance experimentation with production reliability and long-term scalabilityLeadership & CollaborationStrong communication skills with both technical and non-technical stakeholdersExperience mentoring teammates and promoting knowledge sharingAbility to lead technical discussions and drive engineering best practices across the teamStrong ownership, problem-solving skills, and sound technical judgmentAdditional ExpectationsComfortable using AI-assisted development tools with critical thinking and appropriate technical oversightAble to translate business needs into practical, scalable data science solutionPerfil idealAbout YouYou're a hands-on, technically strong Data Scientist who has already begun leading-and you're excited about a role where you can both build and shape a function.You'll Likely Have6+ years in Data Science / ML, including 3+ years in a lead role delivering production ML.Strong depth in at least one: recommender systems, experimentation platforms, growth analytics, or retention/churn modeling.Proficiency in Python, SQL, and common ML tooling (scikit-learn, XGBoost, PyTorch, or similar).Evidence you've tied models to outcomes (retention lift, conversion uplift, marketing ROI, operational efficiency, etc.).Familiarity with modern data stacks (cloud warehouse like Snowflake or similar, BI tools like Looker, ML orchestration/deployment tooling).Confidence communicating trade-offs, uncertainty, and results to both technical and non-technical partners.A practical, collaborative mindset-optimizing for what works, scales, and gets adopted.Work RegimeThis is a remote role within Portugal. We do periodic in-person meetups (workshops, planning, team days). You can join sessions in Lisbon or other hubs-no weekly office requirement.You'll be part of a Data Tribe spanning Data, Analytics, and ML across brands and markets, with peers who value craft, impact, and knowledge-sharing.Day to day, you'll work closely with Digital and Marketing, converting ideas into experiments and models into shipped product features.VantagensCompetitive annual salary ranging from €65,000 to €75,000.Hybrid work policy (remote + office).22 annual leave days +2 days extra days for every year of tenure (up to 6).5 training days per year.Private health insurance provided by Tranquilidade.Food allowance of 7.62€/worked day under by Coverflex.24/7 confidential employee assistance program.Pesquise mais OfertasGoncalo CastelbrancoQuote job refJN-062026-7048678Resumo da FunçãoSetorInformation TechnologySubsetorEngenharia de Base de DadosAdicionar indústriaFMCG (Fast Moving Consumer Goods)LocalizaçãoPortugalTipo de contratoIndefinidoNome do ConsultorGoncalo CastelbrancoReferência da OfertaJN-062026-7048678Tipo de trabalhoTrabalho Remoto / Híbrido
