Explore exciting opportunities at Xtedder and join our dynamic team!

Job Description:

Mid-level Data Scientist with strong skills in Python (NumPy, pandas, scikit-learn) and experience in EDA, feature engineering, and ML modeling.
Solid foundation in statistics and model validation, focused on delivering reliable and actionable insights.
Experienced in SQL, data visualization, and experimentation tools like MLflow and W&B.
Able to build end-to-end data solutions and support their deployment into production.

Responsibilities:

• Perform exploratory data analysis to identify patterns, insights, and data quality issues

• Prepare and transform data, including building meaningful features for models

• Develop, train, and validate supervised and unsupervised Machine Learning models

• Evaluate model performance using appropriate metrics and validation techniques

• Conduct statistical tests to support data-driven decision making

• Create visualizations and dashboards to communicate insights to stakeholders

• Write SQL queries for data extraction and manipulation

• Collaborate with engineering and product teams to implement data solutions

• Track and document ML experiments using tools like MLflow or W&B

• Support deployment and monitoring of models in production

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• Ensure best practices in code, model versioning, and reproducibility

Requirements:

• Strong knowledge of Python (NumPy, pandas, scikit-learn; with basic understanding 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, Weights & Biases, Databricks ML)

• Proficiency 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)

• Experience in data visualization using Matplotlib, Seaborn, Plotly, and BI tools such as Power BI or Tableau

• Understanding of MLOps fundamentals (model registry, versioning, deployment lifecycle)

Shape your future with us @Xtedder

Av. Engenheiro Duarte Pacheco Amoreiras
Torre 1, Piso 3 S9
1070-101
Lisbon, Portugal