基础
Mid Data Scientist
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
不
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