Permanent and full-time Applied Researcher/Data Scientist position

INAIT is an AI scale-up founded in 2017 by Henry Markram, renowned professor in neuroscience, director of EPFL’s Blue Brain Project (BBP) and co-founder of Frontiers. INAIT has raised CHF 55 million to fulfill its mission: bring human-level intelligence to the world and solve the most challenging business problems.

We offer B2B and B2C products and solutions in computer vision, forecasting and document understanding across industries: automotive, healthcare, manufacturing, trading and scientific publishing.

For our product team in forecasting, we are seeking a permanent and full-time Applied Researcher/Data Scientist based in Lausanne, Switzerland.

Note: Only applications with cover letters will be taken into consideration.

Major duties and responsibilities:

• 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, …)

Requirements

Essential experience and skills:

• 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
  
  

Preferred:

• 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

Benefits

Recruitment process

• A 60-90mn interview with our HR manager and members of the forecasting team
• A 60-mn machine / deep learning interview
• A 60-mn python challenge
• A 60-mn interview for cultural fit with the team and the CEO

What we offer

• Hybrid working model with a combination of working remotely and from the office
• Dynamic work environment, a multicultural and highly talented team
• Attractive salary and compensation scheme including a company participation package