Básico

Senior Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal Empresa: Jobio Cliente / Empregador: Powertalent
Publicado: 22.05.2026
Data de encerramento: 06.07.2026
Referência de emprego: 934848b5a45a11e21c03b7f0661cfd4b

Informação do emprego

Localização
Lisboa, Lisbon Metropolitan Area, Portugal
Empresa
Jobio
Cliente / Empregador
Powertalent
Referência de emprego
934848b5a45a11e21c03b7f0661cfd4b
Tipo de listagem
Básico
É necessária autorização de trabalho da UE
Não
Publicado
22.05.2026
Data de encerramento
06.07.2026

Descrição do cargo

PowerTalent: Recruitment, Selection, and Global OutsourcingPowerTalent stands out for its customized talent solutions. As specialists in recruitment and selection, we streamline complex processes and find the best professionals worldwide.We offer recruitment, outsourcing, and hybrid solutions, building local, nearshore, or offshore teams according to our clients’ needs.With PowerTalent, we guarantee complete and efficient solutions, so our clients don’t have to worry about a thing.New opportunity for a new international Tech Hub emerging from Lisbon.We are seeking an experienced Senior Data Scientist to contribute to the design and execution of advanced analytical and machine learning solutions. This exciting role requires a strategic thinker who can link technical decisions to business objectives, mentor teams, and drive high-quality decision-making across cross-functional groups. 5+ years of professional experience in data science environments with proven success in building and architecting production-level data solutions.Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).Strong background in statistics, experimental design, and causal inference.Proven ability to develop and scale complex ML/DL models for production environments.Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML).Advanced SQL expertise for large-scale data manipulation and workloads.Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).Experience leveraging big-data platforms (Spark, Databricks) to optimize model training and scoring.Solid knowledge of cloud-based ML platforms such as Azure ML, SageMaker, or Vertex AI.Degree in Mathematics, Computer Science, Machine Learning, or a related field.English proficiency (minimum B2 level). Soft Skills:Ability to evaluate trade-offs and articulate sound technical choices.Effectively translate complex technical concepts to non-technical audiences.Exceptional mentoring skills to uplift mid/junior engineers and enforce standards and collaborative practices.Strong aptitude for breaking down ambiguous challenges into actionable, executable solutions.Ownership-minded approach to anticipate and resolve issues while driving long-term platform evolution.Advanced proficiency in data visualization and storytelling tailored for executive-level audiences.Skilled at establishing and mentoring teams to uphold best practices and technical excellence. Contract or B2B, its up to youWork model: 2 days per week in the office and 3 days at home.Continuing education and professional development

Competências

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

Empregos semelhantes

Empregos sugeridos

Eurojobs Support Assistant