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Senior Data Scientist

Join Artelys, a rapidly growing company specializing in advanced artificial intelligence methods. As a Senior Data Scientist, you will work on R&D and customer projects, focusing on data valuation and the design and implementation of data science methods. You will extract, structure, and explore raw data sets, build the learning environment, implement and test modeling solutions, and participate in the industrialization of artificial intelligence models. You should have a strong background in applied statistics, experience in advanced AI methods, and proficiency in Python and/or R.

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Job summary
Permanent contract
Paris
A few days at home
Salary: Not specified
Experience: > 3 years
Education: Master's Degree
Skills & expertise
Interviewing
Python
Key missions

Extract, structure, and explore raw data sets, implementing visualization techniques and consolidation methods.

Determine and build the learning environment, implementing and testing a wide range of modeling solutions.

Participate in the industrialization of artificial intelligence models, improving the robustness of algorithms and implementing performance monitoring elements.

Artelys
Artelys

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Questions and answers about the job

The position

Job description

As part of a dynamic, high-level team, you will work jointly on R&D and customer projects, focusing on data valuation, design and implementation of data science methods:

Your main responsibilities will include:

  • Extract, structure and explore raw data sets (potentially very large and from disparate sources), implement visualisation techniques to make sense of them, apply consolidation methods to give them a robust structure as a basis for modelling
  • Determine and build the learning environment (explanatory variables, test/validation procedure, performance criteria)
  • Implement and test a wide range of modelling solutions (from classical statistics to modern machine learning techniques), in order to exploit the best combination of them
  • Participate in the industrialisation of artificial intelligence models by improving the robustness of the algorithms, by taking part in the acceptance phase at the time of production and by implementing the performance monitoring elements of the models

Preferred experience

You hold an engineering degree, a master’s degree and/or a PhD with a specialisation in applied statistics. Moreover, you have a first experience of at least 3 years in the design, implementation and deployment of advanced artificial intelligence methods in a company or within a thesis. You are the ideal candidate if:

  • You have an advanced level of knowledge justified by several years of experience in at least one of the following fields:
    • Time series modelling and forecasting
    • Machine Learning/Deep Learning techniques
    • Automatic Language Processing (NLP)
  • You are an experienced developer in Python and/or R
  • You consider that understanding the business context associated with a data problem is essential to its resolution
  • You know that the best model is not necessarily the most complicated
  • You are autonomous, rigorous and a strong team player
  • Any experience in our main business sectors (Energy, Transport, Mobility, Health) will be valued

In addition, a good fluency in French will be highly appreciated.

Experiencing a strong growth, Artelys is looking for proactive and creative employees, conscious about the added value of their work and motivated to take part in the development of our activities.

Working conditions:

  • Permanent contract, managerial status with a 4-month probationary period.
  • Up to 2 days of remote work per week possible.
  • Flexible working hours.
  • Offices located in the city center of each city where we are located.

Recruitment process:

Step 1: An initial technical interview via video conference with two recruiters (45 minutes x 2).

Step 2: A second interview via video conference with two other recruiters, as well as a brief 15-minute discussion with the CEO of Artelys (45 minutes x 2 + 15 minutes).

Step 3: If your interviews are successful, we will invite you to visit our premises to make you an offer in person and introduce you to the work environment.

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