Data scientist (F/M/D) - Paris
- Full-time
Company Description
At EcoVadis, we envision a global marketplace where sustainability intelligence influences every business decision – improving economies, people's lives and the planet we all depend on. EcoVadis counts industry leaders like Johnson & Johnson, L’Oréal, Nestlé, and Michelin, among the 80,000+ businesses on its network.
With an ambitious, purposeful mission to provide the world's most trusted business sustainability ratings, EcoVadis is driven by a diverse team sharing the core values of commitment, customer-focus, courage, integrity, kindness and happiness. EcoVadis offers you exciting career opportunities in an innovative and dynamic environment. We are looking for passionate team players from a variety of disciplines – from CSR and sustainability experts to customer engagement and engineering talents – to join us to make a real impact on the environmental and social practices of companies worldwide. Join us!
Job Description
We are looking for a highly motivated Data Scientist to join our growing R&D Team, responsible for using machine learning to drive innovation across the organization.
Your global responsibilities will include (but will not be limited to):
Leverage data to solve business problems.
Uncover trends, patterns, correlations and other relationships in data and deliver actionable business insights from this information by creating algorithms and advanced analytic models using statistical, data mining and / or machine learning tools and techniques.
Build and maintain data-driven optimization models, experiments, forecasting algorithms, and machine learning models.
Benchmark your model against the current ones.
Leverage tools like R, Python, Azure & SQL to drive efficient analytics.
Qualifications
You must have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. You should have excellent verbal and written communication, critical thinking and analysis.
Master’s degree in quantitative discipline(Statistics/Applied Math, Data Science, Applied Linguistics and Text Analytics, Computer Science)
2+ years of overall experience in Machine Learning/NLP and data mining techniques
Excellent understanding of Machine Learning techniques and algorithms, such as Decision trees, word embeddings, neural networks
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling. Use effective text representations to transform natural language into useful features.
Eager to learn attitude for logical problem-solving skills.
Enthusiastic, can-do attitude who can work independently as well as contribute to the team.
Strong communication skills both within and outside teams.
Demonstrable software engineering experience from previous work experience, coding competitions, or publications preferably in Python.
Any experience with Azure or other cloud provider would be a distinct advantage.
Skills, abilities and work standards:
- Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection.
Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals.
Authentic - Being honest and authentic in communication, feedback and strategy.
Results-driven - Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals.
Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources.
Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success.