Data Scientist

Data Scientist (12-Month Contract, Fully Remote in the EU)

Job Overview :

We are seeking a Data Scientist to develop data-powered services that enhance our product, Subito , making it smarter and more intuitive. You will apply advanced analytics, statistical modeling, and machine learning techniques to extract valuable insights from vast datasets. Collaborating closely with cross-functional teams, you will design and deploy innovative solutions that optimize user experiences and drive key business metrics.

Key Responsibilities :

• Drive data-driven product design by analyzing multiple data sources to generate insights and recommendations.
• Develop, train, and deploy Machine Learning models to improve user engagement and optimize business performance.
• Leverage diverse datasets (in collaboration with Data Engineers) to uncover patterns and deliver actionable intelligence.
• Formulate hypotheses and design experiments to validate and refine model performance in production environments.
• Democratize data across the organization by creating automated reports and dashboards for key stakeholders.

Experience & Qualifications :

• 3+ years of experience as a Data Scientist working with large datasets in production environments.
• Strong foundation in applied statistical techniques , model building, and hypothesis testing.
• Mastery of Python for data manipulation and ML frameworks ( pandas, NumPy, scikit-learn, etc. ), with familiarity in prototyping tools like Streamlit .
• Hands-on experience designing, training, and deploying ML models at scale .
• Advanced data extraction skills using SQL, Spark , and related technologies.
• Familiarity with software development tools (Cloud infrastructure, Git, Docker, etc.) and best practices.
• Experience building and optimizing large-scale data pipelines and ETL processes with Spark.
• Knowledge of CI / CD for ML , experiment tracking, and model serving (e.g., MLflow, Kubeflow ).
• Git : Proficient in branching, merging, and pull request workflows.
• Docker : Experience in containerizing ML solutions for efficient development and deployment.
• Ability to lead projects from conception to production with minimal supervision.
• Strong collaboration skills to work effectively with product managers, engineers, and other stakeholders .
• Advanced English level (written and verbal communication).

Nice to Have :

• Terraform : Basic exposure to Infrastructure as Code principles for automating resource provisioning.