Senior Data Scientist: Predictive Modeling & ROI

Jobtailor; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Jobtailor in France seeks a senior Data Scientist to design predictive models and leverage multi-source data to enhance customer journeys and conversions.

You will productionize data processing, analyze funnels, implement measurement frameworks, and collaborate with business, analytics and IT teams to ensure reliable data usage. The role requires a Master’s degree and 3–6 years of experience with strong Python, SQL and ML knowledge.

Qualifications

• Master’s degree in Data Science or related field.
• 3–6 years of experience in Data Science or advanced modeling.
• Strong knowledge of ML techniques, digital performance analysis and CRM challenges.
• Proficient in Python, SQL, Power BI, SAS and data science libraries.
• Ability to translate business needs into high-value analytical use cases.
• Autonomy, rigor, analytical mindset and strong business orientation.

Responsabilités

• Design predictive models (scoring, Next Best Offer, segmentation).
• Leverage multi-source data to inform decisions.
• Productionize data processing and models.
• Analyze customer journeys and conversion funnels.
• Implement measurement frameworks (A/B testing, uplift, customer value).
• Provide ROI-oriented recommendations.
• Define data science best practices.
• Collaborate with business, analytics and IT teams to ensure reliable data and usage.

Connaissances

Advanced modeling

CRM challenges

Analytical mindset

Autonomy

Business orientation

Formation

Master’s degree in Data Science

Master’s degree in Statistics

Master’s degree in Mathematics

Master’s degree in Computer Science

Master’s degree in Engineering

Outils

Python

SQL

Power BI

SAS

Pandas

Scikit-learn

TensorFlow

PyTorch

Description du poste

Jobtailor in France seeks a senior Data Scientist to design predictive models and leverage multi-source data to enhance customer journeys and conversions.

You will productionize data processing, analyze funnels, implement measurement frameworks, and collaborate with business, analytics and IT teams to ensure reliable data usage. The role requires a Master’s degree and 3–6 years of experience with strong Python, SQL and ML knowledge.