Match Profiler is an Information Systems consultancy with over 25 years of experience in the national and international technology market.We believe in challenging and motivating projects, driven by multidisciplinary and agile teams - and we are looking for those who want to grow with us. With a close-knit approach, we develop solutions that drive business growth with innovation, trust and security. If you aspire to a career that challenges you daily and allows you to make a real impact - this opportunity is for you.
We are currently strengthening the team of one of our clients with the following profile:
Data Scientist - Hybrid (Lisbon)
Hard 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:
• Good communication
• Team spirit
• Proactivity
• Time management
What we can offer:
• Personalized support from your team
• Your manager will take into consideration your motivations and suggestions
• Victories will be celebrated together
• Your HR and Support Teams will always be available to help
• Constant feedback on your work
• A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well-being, travel, gastronomy, culture, leisure, training, etc)
• And, of course, many gatherings and social events
Data Scientist (m/f) • Lisbon, Portugal, Portugal
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