Mid Data Scientist
Indexed description
Required Qualifications to be successful at this role:
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).
- 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.
- 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).
100% Remote opportunities
We want you to have the flexibility to work where you feel most comfortable and productive.
International Career
- You can expect professional growth and to be connect with the world.
- We are represented in Portugal, Belgium, Luxembourg, and Denmark.
- And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)
As a plus, we provide Health and Life Insurance.
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