DATA SCIENTIST

Responsibilities :

• Gather, clean, and analyze large and complex datasets from various sources.

• Build and deploy predictive and machine learning models (ML/DL) to solve real business challenges.

• Identify optimization opportunities and make data-driven recommendations.

• Design custom algorithms tailored to different business areas (marketing, product, operations, finance, etc.).

• Work closely with Data Engineers, Analysts, and Product Managers.

• Communicate findings through clear visualizations and reports that support strategic decisions.

• Stay up to date with the latest trends in data science, machine learning, and AI.

Required Profile :

• Master’s degree (or higher) in statistics, applied mathematics, computer science, or a related field.

• At least 3 years of professional experience in applied data science.

• Strong proficiency in Python and libraries such as Pandas, Scikit-learn, TensorFlow, PyTorch, etc.

• Solid knowledge of SQL and experience with data visualization tools (Matplotlib, Seaborn, Plotly, etc.).

• Proven experience in deploying models into production environments.

• Analytical mindset, scientific rigor, and the ability to translate technical results into business language.

Nice-to-Have Skills

• Familiarity with Big Data tools (Spark, Hadoop).

• Experience with cloud platforms (GCP, AWS, or Azure).

• Exposure to NLP, Computer Vision, or Time Series forecasting.

• Hands-on with collaborative notebooks (Jupyter, Databricks).

• Knowledge in CI/CD practices and MLOps frameworks is a big plus.

Why Join Us?

• High-impact projects that influence strategic decisions.

• A collaborative and innovation-driven culture.

• Access to rich and diverse datasets.

• Continuous learning opportunities and attendance at tech/AI conferences.

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