Senior Data Scientist

 Posted a month ago
     
5-10 years experience
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AI Summary

Design and execute advanced analytical and machine learning solutions while linking technical decisions to business objectives. Mentor mid and junior engineers to ensure technical excellence and drive high-quality decision-making across cross-functional groups.

We are seeking an experienced Senior Data Scientist to contribute to the design and execution of advanced analytical and machine learning solutions. This exciting role requires a strategic thinker who can link technical decisions to business objectives, mentor teams, and drive high-quality decision-making across cross-functional groups.

Required Qualifications to be successful at this role:

Technical Skills:

  • Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).

  • Strong background in statistics, experimental design, and causal inference.

  • Proven ability to develop and scale complex ML/DL models for production environments.

  • Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML).

  • Advanced SQL expertise for large-scale data manipulation and workloads.

  • Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).

  • Experience leveraging big-data platforms (Spark, Databricks) to optimize model training and scoring.

  • Solid knowledge of cloud-based ML platforms such as Azure ML, SageMaker, or Vertex AI.

Soft Skills:

  • Ability to evaluate trade-offs and articulate sound technical choices.

  • Effectively translate complex technical concepts to non-technical audiences.

  • Exceptional mentoring skills to uplift mid/junior engineers and enforce standards and collaborative practices.

  • Strong aptitude for breaking down ambiguous challenges into actionable, executable solutions.

  • Ownership-minded approach to anticipate and resolve issues while driving long-term platform evolution.

  • Advanced proficiency in data visualization and storytelling tailored for executive-level audiences.

  • Skilled at establishing and mentoring teams to uphold best practices and technical excellence.

Experience:

  • Degree in Mathematics, Computer Science, Machine Learning, or a related field.

  • At least 5 years of professional experience in data science environments with proven success in building and architecting production-level data solutions.

  • English proficiency (minimum B2 level).

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

  • You can expect professional growth and to be connect with the world.

  • We are represented in Portugal, Belgium, Luxembourg, and Denmark.

  • And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.

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