Senior Data Scientist — Remote & Global Impact

bridge351

Lisboa

Híbrido

EUR 50 000 - 70 000

Tempo integral

14 dias+
Gerador de candidaturas

Stand out for this role — generate a tailored resume and cover letter in about a minute.

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Vantagens oferecidas por esta oferta de emprego

Health and Life Insurance
12 additional Compensation Days
Flexibility to work remotely

Resumo da oferta

A leading technology company in Lisbon is seeking a talented Senior Data Scientist to contribute to advanced analytical and machine learning solutions. This role demands expertise in Python and SQL, a strong background in statistics, and the ability to mentor teams. With a hybrid work model and a supportive workplace culture, this position offers an exciting opportunity to drive innovation and technical excellence in a collaborative environment.

Qualificações

  • At least 5 years of experience in data science environments.
  • Proven success in building production-level data solutions.
  • English proficiency (minimum B2 level).

Responsabilidades

  • Contribute to design and execution of analytical and ML solutions.
  • Mentor teams and drive decision-making across groups.
  • Evaluate trade-offs for sound technical decisions.

Conhecimentos

Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
Strong background in statistics, experimental design, and causal inference
Ability to develop and scale complex ML/DL models
Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML)
Advanced SQL expertise for data manipulation
Deep understanding of MLOps workflows
Experience with big-data platforms (Spark, Databricks)
Knowledge of cloud-based ML platforms (Azure ML, SageMaker, Vertex AI)

Formação académica

Degree in Mathematics, Computer Science, Machine Learning, or related field

Descrição da oferta de emprego

A leading technology company in Lisbon is seeking a talented Senior Data Scientist to contribute to advanced analytical and machine learning solutions. This role demands expertise in Python and SQL, a strong background in statistics, and the ability to mentor teams. With a hybrid work model and a supportive workplace culture, this position offers an exciting opportunity to drive innovation and technical excellence in a collaborative environment.
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