Data Scientist Portugal

Lisboa
60.000-80.000 € por ano
Permanente
Horário completo

Há 1 mês

Job Title: Data Scientist (Production ML Focus)Location: Portugal (Remote from Portugal or Hybrid Options Available)Experience Level: Mid-Senior (4+ Years)Employment Type: Full-TimeAbout the RoleMy client are highly skilled Data Scientist with a strong background in deploying machine learning models to production environments. You will play a key role in developing, validating, and operationalizing data science solutions that directly impact our products and business strategy.This position is ideal for someone who thrives at the intersection of data science and engineering, and is passionate about building scalable, reliable, and impactful ML systems.Key Responsibilities

Design, build, and deploy machine learning models and pipelines into production environments
Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products
Monitor and maintain deployed models, ensuring performance and accuracy over time
Conduct exploratory data analysis, feature engineering, and model evaluation
Translate business problems into analytical solutions and communicate results to non-technical stakeholders
Drive best practices for model lifecycle management, including versioning, monitoring, and retraining
Stay current with developments in machine learning and MLOps

Required Qualifications

4+ years of experience as a Data Scientist or Machine Learning Engineer
Proven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar)
Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch,
Solid understanding of data pipelines, APIs, and CI/CD practices
Experience with cloud platform
Proficient in SQL and working with large-scale datasets
Excellent problem-solving, communication, and collaboration skills

Design, build, and deploy machine learning models and pipelines into production environments
Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products
Monitor and maintain deployed models, ensuring performance and accuracy over time
Conduct exploratory data analysis, feature engineering, and model evaluation
Translate business problems into analytical solutions and communicate results to non-technical stakeholders
Drive best practices for model lifecycle management, including versioning, monitoring, and retraining
Stay current with developments in machine learning and MLOps

Required Qualifications

4+ years of experience as a Data Scientist or Machine Learning Engineer
Proven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar)
Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch,
Solid understanding of data pipelines, APIs, and CI/CD practices
Experience with cloud platform
Proficient in SQL and working with large-scale datasets
Excellent problem-solving, communication, and collaboration skills

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