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Experienced Data Scientist

Engineering | Marseille

Role Overview

We are looking for a pragmatic and impact-driven Data Scientist to join our team at Syroco. In this role, you will focus on preparing and processing datasets, training and evaluating machine learning models, and ensuring the integration of those models into our operational workflows.

This is a hands-on, production-oriented role. You will work closely with Data Engineers to access and structure the data, and with other Data Scientists and ML Engineers to ensure consistency between model development and deployment. Your work will directly support the delivery of performance insights and voyage optimisation for shipowners and operators.

Key Responsibilities

  • Data Processing
    • Explore, clean, and process data collected from ships.
    • Apply and adapt existing pipelines to engineer features based on domain-specific constraints.
  • Model Training and Evaluation
    • Train and fine-tune machine learning models based on defined architectures.
    • Evaluate model performance using appropriate metrics and contribute to iteration cycles.
  • Collaboration and Continuous Improvement
    • Work closely with Data Engineers to ensure efficient access to and validation of raw and processed data.
    • Collaborate with Data Scientist and ML Engineer on the reuse and adaptation of modeling pipelines and methodologies.
    • Contribute to continuous improvement by analyzing model performance over time and feeding back insights to the broader team.

Qualifications and Experience

  • Educational Background: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • Technical skills
    • Proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, plotly, etc.).
    • Experience working with time-series or sensor data. 
    • Knowledge of standard ML workflows including data preprocessing, model training, validation, and performance monitoring.
    • Familiarity with collaborative development tools such as Git.
    • Experience with model tracking or experiment management tools (e.g. MLflow) is a plus.
  • Professional Experience
    • 2+ years of experience in developing and validating ML models in a research or industry setting.
  • Soft Skills
    • Strong analytical thinking and problem-solving mindset.
    • Effective communication and collaboration skills.
    • Adaptability in a dynamic, cross-functional environment.

What We Offer

  • Competitive compensation package commensurate with experience.
  • Access to company equity.
  • Collaborative work environment with a commitment to sustainability and excellence.
  • Professional growth and development opportunities.
  • Work conditions that balance productivity and quality of life, with our office located close to the Vieux Port of Marseille.

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