EcoVadis offers an exciting, truly international opportunity to build a career while making a positive impact, in an innovative and dynamic environment. Recognized as the most trusted business in the sustainable supply chain space, EcoVadis is driven by a diverse team of over 45 nationalities making a real impact on the environmental and social practices of companies around the world by leveraging the influence of global supply chains. More than 200 global multinational companies have selected the EcoVadis solution, including Verizon, GSK, Coca Cola Enterprises, Nestle, Johnson & Johnson, Renault, ING Bank, and Subway. EcoVadis has rated over 50,000 of their suppliers with ambitious goals to continue to multiply our coverage.

Join us, we are looking for collaborative, fun and passionate people to help us make a difference!

In this role, you will:

• Fully understand business processes and associated data needs

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies

• Assess the effectiveness and accuracy of new data sources and data gathering techniques

• Develop custom data models and algorithms to apply to data sets

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes

• Develop company A/B testing framework and test model quality

• Coordinate with different functional teams to implement models and monitor outcomes

• Develop processes and tools to monitor and analyze model performance and data accuracy

Specific qualifications for the role include:

• Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools

• Strong problem solving skills with an emphasis on product development

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications

• Excellent written and verbal communication skills for coordinating across teams

• A drive to learn and master new technologies and techniques

Experience in following languages / technologies is expected :

• Coding / Languages : C, C++, Java, Javascript, …

• Statistics and data mining : GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

• Query / Computing : R, Python, SLQ, etc.

• Machine Learning : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

• Visualization : Tableau, Periscope, Business Objects, D3, ggplot, etc.

Where: 

Location: Paris

When: 

ASAP

Are you interested? Please apply directly online by clicking on the link below.

In return for your expertise and energy, we offer challenge, opportunities, a salary aligned with experience and a casual environment.

For more information about EcoVadis please visit our site:

www.ecovadis.com

Keywords: Sales Executive; Key Account Manager; Program Manager; Project Management; Customer Relationship; CSR; Sustainability; Client Manager; German speaker

EcoVadis does not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, disability, veteran status or any other protected category.