Data Scientist Mid

emagine Polska; Lisboa; Presencial; EUR 52 000 - 75 000; Tempo integral

Resumo da oferta

Mid Data Scientist role in Lisbon focusing on building production-ready data science solutions and machine learning models that drive measurable business value.

You will collaborate with cross-functional teams, perform experiments, and translate insights into actionable outcomes with strong Python, SQL, and visualization skills. English proficiency required; on-site position in Portugal.

Qualificações

• Degree in Mathematics, Computer Science, ML, or related field.
• 3–5 years of professional data science experience with production models.
• English proficiency minimum B2.

Conhecimentos

Python

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

EDA

Feature engineering

Statistics

Probability

Supervised learning

Unsupervised learning

Model tuning

Model validation

MLflow

W&B

Databricks ML

SQL

Cross-validation

Evaluation metrics

Cloud ML

Azure ML

AWS SageMaker

GCP Vertex AI

Matplotlib

Seaborn

Plotly

Power BI

Tableau

MLOps

Model registry

Versioning

Deployment lifecycle

Formação académica

Degree in Mathematics

Computer Science

Machine Learning

Ferramentas

Python tooling

Docker

Kubernetes

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.

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).