Опытный Data Scientist H/F

Our missions: We work with our clients on 100% data-driven projects, combining technical and operational aspects. Depending on your profile and interests, you will have the opportunity to participate in projects that address purely technical challenges or challenges more oriented towards business. Our clients operate in various sectors (luxury, retail, telecommunications, banking, insurance, etc.), and the topics of data science projects you may work on are also diverse. Some examples of current topics:

• Development of churn prediction models for an e-commerce website of a retailer. ChurnPrediction
• Creation and industrialization of a recommendation engine designed to optimize website visitor conversion. Recommendations
• Development of churn scoring to identify customers of a large retailer experiencing a slow decline in activity, Churn
• Implementation of customer segmentation to optimize a brand's marketing and commercial actions (targeting, retention, depending on communication channel preferences). CustomerSegmentation

Team: We are looking for talents:

• Possessing excellent communication skills,
• Eager to contribute to the success of client projects,
• Having good analytical skills and the ability to synthesize information,
• Who attach particular importance to the quality of results, as well as the presentation and popularization of data,
• Curious and keen to stay abreast of market trends,
• Willing to continue learning to evolve actively,
• With at least three years of experience.

Technical skills: A graduate of a higher education institution or engineering school with a background in data and:

• Have a good knowledge of fundamental statistical modeling or machine learning methods (Random Forest, XGBoost, K-means, …),
• Know SQL well,
• Master Python, R, and/or SAS,
• Know one of the main software solutions on the market (Dataiku, SAS, Alteryx…),
• Bonus: have knowledge of cloud technologies: GCP, AWS, Azure…

Recruitment process: First, you will interact with our talent acquisition manager who will invite you for a first interview, conducted by phone, video, or in person. A technical test (QCM and practical cases) will be sent to you by email. You will then meet with an experienced consultant (Manager, Business Manager, or Practice Lead) in person. If necessary, informal meetings with the team can be organized so that you can get acquainted with your future work environment at the same time.