Python Job: Applied Researcher-Data Scientist position in time

• Apply state-of-the-art machine learning and time series forecasting techniques to address complex real-world problems
• Collaborate with a team of researchers, data scientists and software engineers in both improving current solutions and in the development of new successful products
• Propose creative approaches to design solutions and turn them into prototypes
• Understand the business requirements and specificity of the application
• Assess opportunities of cutting-edge technologies by implementing the latest results in the literature
• Provide detailed analysis and present results in a clear manner to stakeholders (visualization tools, technical reports, …)

• Strong academic qualification with internationally recognized Master or Doctorate degree in Mathematics, Statistics, Data Science, Computer Science or equivalent
• In depth knowledge of machine learning, artificial intelligence technologies, time series forecasting and optimization, and ability to apply them to real-world use cases
• 2+ years work experience and successful track record in data driven model development and deployment
• Robust analytical, mathematical and statistical skills
• Ability to quickly prototype ideas and develop creative solutions to solve business questions
• Pragmatic attitude in solving complex problems with an emphasis on product development
• Highly proficient in Python (including common libraries such as SciPy, scikit-learn, pandas, TensorFlow…)
• Strong drive to learn and master new concepts, tools and techniques
• Interested in keeping up to date with state-of-the-art machine learning models
• Fluent communication in English (written and spoken)
• Excellent communication and presentation skills
• Proven ability to work both independently and in team-based environments
• Motivated to work in a fast-paced environment

Nice to Have:

• PhD in mathematics, engineering, computer science or equivalent
• Professional experience (2+ years ) in time series/machine learning
• Experience in commodity trading / finance is a plus
• Experience in recommendation systems / demand forecasting is a plus
• Software development life-cycle including unit testing, continuous integration, version control, debugging and documentation
• Experience in working in agile settings

Application process: