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Data Scientist (H/F) - Paris

AvisiaParis, Île-de-France, France
On-site Full-time

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Experience Level

Experience

Qualifications

The Human Element:We are seeking talents who:Possess excellent interpersonal skills,Are eager to contribute to client project success,Exhibit strong analytical and synthesis abilities,Value the quality of deliverables and the clarity of results presentation,Are curious and keep abreast of market developments,Desire to continue learning and be proactive in their growth,Have a minimum of three years of experience. Technical Skills:You hold a degree in data science from a university or a prestigious school and:Have a solid understanding of key statistical modeling or machine learning techniques (Random Forest, XGBoost, K-means, etc.),Are proficient in SQL,Master Python, R, and/or SAS,Are familiar with leading software solutions (Dataiku, SAS, Alteryx, etc.),Bonus points for knowledge of cloud technologies: GCP, AWS, Azure...

About the job

Our Mission:

At Avisia, we engage with our clients on 100% data-driven projects that merge technical and operational dimensions. Depending on your profile and interests, you will have the opportunity to work on projects addressing purely technical challenges or more business-oriented issues.


Our clients span a variety of industries including Luxury, Retail, Telecom, Banking, and Insurance. The data science projects you may be involved in will also cover diverse topics.


Current project examples include:

  • Developing revenue forecasting models for an e-commerce retailer. #Forecasting

  • Creating and industrializing a recommendation engine to enhance website visitor conversion rates. #Recommendation

  • Establishing an attrition score to identify slowly declining customers for a large retail chain. #Churn

  • Implementing customer segmentation to optimize marketing and sales actions based on channel contact preferences. #CustomerSegmentation


About Avisia

Avisia is a dynamic data-driven consulting firm that specializes in delivering innovative solutions across various industries. We pride ourselves on our commitment to excellence and our ability to adapt to the ever-evolving data landscape.

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