Data Scientist

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

Compensation: $5,000 USD per month (Gross)

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.