Senior 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 Senior Data Scientist with the following requirements:

Technical Skills:
• Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
• Strong background in statistics, experimental design, and causal inference.
• Proven ability to develop and scale complex ML/DL models for production environments.
• Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML).
• Advanced SQL expertise for large-scale data manipulation and workloads.
• Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).
• Experience leveraging big-data platforms (Spark, Databricks) to optimize model training and scoring.
• Solid knowledge of cloud-based ML platforms such as Azure ML, SageMaker, or Vertex AI.

Soft Skills:
• Ability to evaluate trade-offs and articulate sound technical choices.
• Effectively translate complex technical concepts to non-technical audiences.
• Exceptional mentoring skills to uplift mid/junior engineers and enforce standards and collaborative practices.
• Strong aptitude for breaking down ambiguous challenges into actionable, executable solutions.
• Ownership-minded approach to anticipate and resolve issues while driving long-term platform evolution.
• Advanced proficiency in data visualization and storytelling tailored for executive-level audiences.
• Skilled at establishing and mentoring teams to uphold best practices and technical excellence.

Experience:
• Degree in Mathematics, Computer Science, Machine Learning, or a related field.
• At least 5 years of professional experience in data science environments with proven success in building and architecting production-level data solutions.
• English proficiency (minimum B2 level).

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