This role focuses on delivering high-quality data science outcomes that support business growth and innovation. The scope of the activity requires strong capabilities in data analytics and machine learning, with the effective use of Dataiku to generate insights and measurable value. The work involves analyzing complex datasets to address challenging problems and to continuously improve products and services.

Responsibilities:

• Design, development, and deployment of data‑driven solutions using Dataiku.
• Analytical support provided through close collaboration with cross‑functional teams to address business needs.
• Manipulation and analysis of complex, high‑volume, and high‑dimensional data from multiple sources.
• Implementation, monitoring, and optimization of predictive models and machine learning algorithms.
• Translation of data insights into actionable recommendations and clear presentations for stakeholders.
• Maintenance and continuous improvement of existing Dataiku DSS projects.
• Ongoing alignment with industry trends and emerging technologies in data science and machine learning.

Required Capabilities:

• Application of knowledge typically associated with a Bachelor's or Master's level in Data Science, Computer Science, Engineering, Statistics, or a related field.
• Demonstrated experience (minimum 2 years) in data science activities, particularly involving Dataiku.
• Solid understanding and application of predictive modeling, machine learning, and data mining concepts.
• Practical use of Python or R, along with SQL, in analytical workflows.
• Strong analytical reasoning, problem‑solving, and communication outcomes.
• Effective performance in a fast‑paced, collaborative working environment.

Additional Value Areas:

• Exposure to big data technologies (e.g., Hadoop, Spark, BigQuery).
• Familiarity with other analytics platforms and solutions.
• Dataiku DSS certification.

Dataiku skills represent an added value but are not mandatory.