Data Scientist Mid

emagine; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

emagine in Lisbon is seeking a Mid Data Scientist to build data-driven solutions and collaborate with diverse teams to deliver measurable business impact. You will develop and evaluate analytical and ML models to create value and drive decisions.

The role requires 3–5 years in data science, strong Python and SQL, and English at least B2. You will engage in EDA, feature engineering, model validation, and contribute to MLOps practices within a dynamic environment.

Qualificações

• Degree in Mathematics, Computer Science, ML, or a related field.
• 3–5 years of professional data science experience.
• English proficiency (minimum B2).
• Strong Python and SQL skills.
• Experience deploying ML models and familiarity with MLOps is a plus.
• Ability to communicate technical insights clearly.

Conhecimentos

Python

Pandas

Scikit-learn

PyTorch/TensorFlow

EDA & feature eng

Statistics & probability

Supervised learning

Unsupervised learning

MLflow & W&B

Databricks ML

SQL

Model evaluation

Cloud ML platforms

Matplotlib

Seaborn

Plotly

Power BI

Tableau

MLOps fundamentals

Analytical thinking

Communication

Cross-functional collaboration

Problem solving

Ownership

Proactive communication

Formação académica

Degree in Mathematics/Computer Science/ML

Ferramentas

MLflow

Weights & Biases

Databricks ML

Descrição da oferta de emprego

Mid Data Scientist

We're looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value.

Mid Data Scientist

We're looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value.

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).

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).