Data Scientist (m/f)

Match Profiler; Lisboa; Híbrido; EUR 55 000 - 80 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Personalized support from team

Feedback and growth opportunities

Exclusive discounts on various sectors

Social events and gatherings

Regular feedback on work

Network of partnerships with exclusive

Discounts across sectors

Many gatherings and social events

Resumo da oferta

A leading technology consultancy in Lisbon is seeking a Data Scientist to join their team. The role involves utilizing strong Python skills, engaging in Exploratory Data Analysis, and building ML models among other responsibilities. The ideal candidate will have proficiency in data visualization and an understanding of cloud ML platforms. This position offers a hybrid work environment and emphasizes personal support and growth opportunities. Additionally, candidates will have access to exclusive discounts through a network of partnerships.

Qualificações

• Strong knowledge of Python with data-science libs (NumPy, pandas, scikit-learn).
• Extensive experience with Exploratory Data Analysis and feature engineering.
• Solid foundation in statistics and probability; hypothesis testing and inference.
• Proven experience building and evaluating supervised and unsupervised ML models; tuning/validation.
• Knowledge of ML experimentation tools (MLflow, W&B, Databricks ML).
• Proficient in SQL for data analysis and querying.
• Understanding of model evaluation strategies (cross-validation, metrics).
• Familiarity with cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• Data visualization skills (Matplotlib, Seaborn, Plotly) and BI tools (Power BI, Tableau).
• Understanding of MLOps fundamentals (model registry, versioning, deployment lifecycle).

Conhecimentos

Python (NumPy, pandas, scikit-learn)

Exploratory Data Analysis (EDA)

Statistics and probability

Supervised and unsupervised ML models

ML experimentation tools (MLflow, W&B)

SQL for data analysis

Model evaluation strategies

Cloud ML platforms (Azure ML, AWS SageMaker)

Data visualization (Matplotlib, Seaborn, Plotly)

MLOps fundamentals

Ferramentas

MLflow

Weights & Biases

Databricks ML

Azure ML

AWS SageMaker

GCP Vertex AI

Power BI

Tableau

Matplotlib

Seaborn

Plotly

Descrição da oferta de emprego

Match Profiler is an Information Systems consultancy with over 25 years of experience in the national and international technology market. We believe in challenging and motivating projects, driven by multidisciplinary and agile teams - and we are looking for those who want to grow with us. With a close‑knit approach, we develop solutions that drive business growth with innovation, trust and security. If you aspire to a career that challenges you daily and allows you to make a real impact - this opportunity is for you.

We are currently strengthening the team of one of our clients with the following profile:

Data Scientist - Hybrid (Lisbon)

Hard 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

What we can offer:

• Personalized support from your team
• Your manager will take into consideration your motivations and suggestions
• Victories will be celebrated together
• Your HR and Support Teams will always be available to help
• Constant feedback on your work
• A network of hundreds of partnerships with companies from numerous sectors that offer you exclusive discounts (health, well‑being, travel, gastronomy, culture, leisure, training, etc)
• And, of course, many gatherings and social events