Data Scientist
Match ProfilerPortugal18 hours ago
Full-timeEngineering, Information Technology
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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) What we are looking forDegree 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.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).
English proficiency (minimum B2 level)Good communicationTeam spiritProactivityTime managementWhat we have to offerCareful onboarding and close support from day oneContinuous feedback aligned with your professional goalsAn accessible and collaborative team ready to support each individual's journeyA close-knit environment where idea sharing and personal development are valuedAccess to a network of partnerships offering exclusive discounts on health, wellness, travel, culture, gastronomy, leisure and much moreSocial events and initiatives that strengthen team spiritTo respond to this opportunity, send us your CV to the following e-mail address ******#J-*****-Ljbffr
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).
English proficiency (minimum B2 level)Good communicationTeam spiritProactivityTime managementWhat we have to offerCareful onboarding and close support from day oneContinuous feedback aligned with your professional goalsAn accessible and collaborative team ready to support each individual's journeyA close-knit environment where idea sharing and personal development are valuedAccess to a network of partnerships offering exclusive discounts on health, wellness, travel, culture, gastronomy, leisure and much moreSocial events and initiatives that strengthen team spiritTo respond to this opportunity, send us your CV to the following e-mail address ******#J-*****-Ljbffr
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