基础

Mid Data Scientist

Lisboa, Lisbon Metropolitan Area, Portugal 公司: Jobio 客户/雇主: Irium Portugal
发布: 22.05.2026
交割日期: 06.07.2026
职位推荐: 56b36adf3f9ff6986ee4dc1f7fb6963e

职位信息

位置
Lisboa, Lisbon Metropolitan Area, Portugal
公司
Jobio
客户/雇主
Irium Portugal
职位推荐
56b36adf3f9ff6986ee4dc1f7fb6963e
列表类型
基础
需要欧盟工作许可
发布
22.05.2026
交割日期
06.07.2026

职位描述

At IRIUM we want you to always chase your dreams. Here, prepare yourself to conquer your goals, while enjoying the journey. We are currently looking for Mid Data ScientistRequirements: We’re looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value.Required Qualifications to be successful at this role:Technical Skills:Strong knowledge of Python (NumPy, pandas, scikit-learn; with basics of PyTorch/TensorFlow).Solid experience in Exploratory Data Analysis (EDA) and feature engineering.Strong foundation in statistics and probability (hypothesis testing, inference, distributions).Proven experience building and evaluating supervised and unsupervised ML models, including tuning and validation.Knowledge of ML experimentation tools (MLflow, W&B, Databricks ML).Proficient in SQL for data analysis and querying.Understanding of model evaluation and validation strategies (cross-validation, metrics, overfitting).Basic familiarity with cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).Experienced in data visualization using Matplotlib, Seaborn, Plotly, as well as BI tools like Power BI or Tableau.Understanding of MLOps fundamentals (model registry, versioning, deployment lifecycle).Soft Skills:Exceptional analytical thinking and problem-solving capabilities.Ability to clearly explain technical insights to technical and non-technical stakeholders.Collaborative mindset to ensure integration across multiple Data teams.Structured and value-oriented approach to problem-solving.Adaptable to new data, requirements, and project needs, ensuring appropriate solutions are used in varying scenarios.Takes full ownership of the analytical lifecycle and ensures the quality and reliability of models delivered.Proactive communication skills with the ability to simplify technical concepts for diverse audiences.Experience:Degree in Mathematics, Computer Science, Machine Learning, or a related field.At least 3-5 years of professional experience in data science environments, building and deploying production-level models.English proficiency (minimum B2 level).Location: Lisbon, hybridWhat do we offer? ➡ An innovative and growing company, with a lot of opportunities for professional development.➡ Retribution according to your experience and performance. Access to flexible pay and medical insurance as a social benefit.➡ Unlimited access to technological training in free mode.IRIUM is a company with dynamic and proactive professionals. Our values ​​are responsibility and commitment to work quality. This is the spirit we are looking for at IRIUM, whatever your age is. If you recognize yourself in this, this is your company!We can build the future together. Let’s talk! Send your CV to: [email protected]At IRIUM we defend a world without stereotypes or limitations and we believe in equality for all, principles that we subscribe to in our Equality Plan and Code of Ethics, guaranteeing equal treatment and opportunities regardless of any personal, physical or social condition.

技能

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

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