Data Scientist – Data Science Products
Paris (Paris) Études / Statistiques / Data
Description de l'offre
Data Scientist – Data Science Products
Based in Paris
About CRITEO
Criteo (CRTO) delivers personalized performance marketing at an extensive scale. Measuring return on post-click sales, Criteo makes ROI transparent and easy to measure. Criteo has over 2,500 employees in 30 offices across the Americas, EMEA and Asia-Pacific, serving 13,000 advertisers worldwide and with direct relationships with 17,500 publishers.
For more information, please visithttp://www.criteo.com
The team:
The Data Analytics team sits between the business and technology groups. We have a strong quantitative culture, and our analysts and data scientists are involved in setting the agenda and driving decisions across the organization.
Responsibilities:
· Build sophisticated models of Criteo’s macro performance focusing both on the short-term and long-term
· Build complex forecasting models, analyze forecast performance over time implementing model adjustments and refreshes when necessary
· Create cutting-edge anomalies detection models
· Formulate the right research questions, develop new and innovative models
· Conduct ad-hoc analyses as appropriate, including in-depth, data-driven reviews of Criteo’s performance
· Proactively launch and support ideas on optimal marketplace settings, competitive bidding strategy, key business levers to target, product improvements, etc.
· Maintain deep knowledge of Criteo’s products, technologies, position and strategy
Requirements:
· Master’s or Ph. D in a quantitative field (Statistics, Mathematics, Econometrics, Physics, etc.)
· Knowledge of SQL and Excel
· Proficiency in a statistical analysis language such as R, Python, etc.
· Strong intellectual curiosity and ability to structure and solve difficult problems with minimal supervision
· English fluency and the ability to present results to both technical and non-technical audiences
· 2 years of statistical/econometric modeling experience in a professional context preferred
Why work for us?
We are innovative, passionate, fearless, creative, driven, and adaptable. Our core values are at the heart of who we are. We have a spontaneous and vibrant culture, and we truly believe in team spirit and collaboration.
You can't miss the opportunity we offer you to develop your career. Join us to contribute to one of the latest disrupting technologies in online technology. We work hard, play hard and we share the same passion for e-Commerce, Advertising and Technology. We value team work, openness, technical innovation, and results-orientated thinking. Criteo corporate culture is all about attracting and retaining the best talent. We aim to reward excellence so there are fantastic opportunities for the right candidate.
Profil recherché
Requirements:
· Master’s or Ph. D in a quantitative field (Statistics, Mathematics, Econometrics, Physics, etc.)
· Knowledge of SQL and Excel
· Proficiency in a statistical analysis language such as R, Python, etc.
· Strong intellectual curiosity and ability to structure and solve difficult problems with minimal supervision
· English fluency and the ability to present results to both technical and non-technical audiences
· 2 years of statistical/econometric modeling experience in a professional context preferred
Why work for us?
We are innovative, passionate, fearless, creative, driven, and adaptable. Our core values are at the heart of who we are. We have a spontaneous and vibrant culture, and we truly believe in team spirit and collaboration.
You can't miss the opportunity we offer you to develop your career. Join us to contribute to one of the latest disrupting technologies in online technology. We work hard, play hard and we share the same passion for e-Commerce, Advertising and Technology. We value team work, openness, technical innovation, and results-orientated thinking. Criteo corporate culture is all about attracting and retaining the best talent. We aim to reward excellence so there are fantastic opportunities for the right candidate.