Mid Data Scientist

Equação IT is a company focused on boosting technology and solid solutions through our expert consultants leading a high perspective and adding value to our customers with the purpose of providing optimization and business growth to our partners.

We are looking for a Mid Data Scientist with the following requirements:

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).

• Duration: Long Term Contract.
• Location: Lisbon, hybrid, 2 days per week in the office and 3 days at home.