Recrutement de 01 Data Scientist Time Series H/F
Recrutement de 01 Data Scientist Time Series H/F
Entreprise: TotalEnergies
Niveau d'etude: Non precise
Localité: France / Paris
Date limite: 2024-07-31
Recrutement de 01 Data Scientist Time Series H/F
Data Scientist Time Series H/F
Pays
France
Lieu
92 - Hauts-de-Seine
Lieu de travail
COURBEVOIE(PLD)-COUPOLE(FRA)
Domaine
Systèmes d'Information
Type de contrat
CDI
Expérience
Minimum 6 ans
Profil du candidat
• You like innovation and challenges close to business needs.
• You have a 5-years industrial experience involving Data Science.
• You have strong background in Python and knowledges in production ready code.
• You like to propose new ideas, collaborate in a project mode, coordinate scientific activities.
Come an join us!
What about your future team?
Joining our team is participating to an enthusiastic digital adventure, within a highly motivating team, eager to take up strong technical challenges
always very close to the business.
Activités
Digitalization is key in supporting the energy transition of the company, it means that more and more data are available. Those
data are the playgrounds of the Digital Solutions and AI team.
Our objective is to support the company's transition by leveraging data using machine learning and deep learning algorithms.
The position refers to the manipulation of variate time series (solar, wind, EV charging etc.).
Your day-to-day activities:
As a Data Scientist you will:
• Be in direct contact with internal clients and participate in defining their needs.
• Propose, in collaboration with colleagues, the approach to be implemented to meet client needs (bibliography, methodology).
• Coordinate all stakeholders involved in the study, including external resources.
• Participate in the development and training of custom models (machine/deep learning) to meet business needs.
• Participate in the deployment (retraining strategy, provision of results), in collaboration with back-end and devops teams.
• Participate, beyond model creation, in the entire data processing chain (cleaning, enrichment, etc.)
• Contribute to development following the data science team's guidelines.
• Conduct technological watch in ML and particularly in the field of time series (through participation in conferences and
external events, publications, etc.) and uses scientific knowledge to propose new studies with high potential impact for the
company or the development of new technologies.
• Consider HSE and operational constraints in the implementation of technical solutions.
• Report research results, ensuring their robustness, in writing and/or through internal/external presentations.
• Identify project risk (feasibility, delays).
• Be autonomous in your daily work.
• Demonstrate a strong teamwork spirit.
Contexte et environnement
The OneTech branch is one of the pillars of TotalEnergies' energy transition strategy to get to net zero by 2050
The mission of our 3,400 employees - engineers, technicians and researchers - spread over 9 sites in Europe is to provide the technological and scientific
expertise needed for the Company to implement its strategy.
Join our teams in the Customer Lines, Technical Lines, R&D Lines and Support functions who accompany all operational branches in their development
projects and in support to their operations !
Our OneTech spirit “serious & cool” is reflected in numerous social events (Afterworks, Touch Rugby Challenge, Innovation Challenge, etc.) complementing
the moments of sharing information (team seminars, Hello OneTech convention) and know-how (training, TecX conferences) to fully experience the OneTech
collective adventure!
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