Data Scientist Portugal

Descrição do trabalho

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-Time
  • About The Role*
  • My 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

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-Time

  • 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