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Data Scientist – Experienced
Crédit Agricole Alpes ProvenceData Scientist at Crédit Agricole Business Digital focused on data science models and enhancing customer experience in banking. Collaborates with teams to drive marketing and business insights.
Tech Stack
Tools & technologiesPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design predictive models (scoring, Next Best Offer, segmentation)
- Leverage multi-source data
- Productionize associated 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.
Requirements
What you’ll need- Master’s degree (BAC+5) in Data Science, Statistics, Mathematics, Computer Science or Engineering
- 3 to 6 years’ experience in Data Science or advanced modeling
- Strong knowledge of Machine Learning techniques, digital performance analysis and CRM challenges
- Proficiency in Python, SQL, Power BI, SAS and data science libraries (Pandas, Scikit-learn, TensorFlow, PyTorch)
- Ability to translate business needs into high-value analytical use cases
- Autonomy, rigor, analytical mindset and strong business orientation.
Benefits
Comp & perks- N/A 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
predictive modelingdata processingA/B testingmachine learningdigital performance analysisadvanced modelingdata science best practicesanalytical use casescustomer journey analysissegmentation
Soft Skills
autonomyrigoranalytical mindsetbusiness orientationcollaboration
Certifications
Master’s degree in Data ScienceMaster’s degree in StatisticsMaster’s degree in MathematicsMaster’s degree in Computer ScienceMaster’s degree in Engineering