Optimization Data Scientist

TOTSA TotalEnergies Trading SA; Schweiz; Vor Ort; CHF 70’000 - 110’000; Vollzeit

Zusammenfassung

Une entreprise de premier plan dans le domaine de l'énergie recherche un expert en optimisation dans l'équipe de services d'optimisation. Ce rôle implique le développement de modèles de science des données pour le trading d'énergie, avec un accent sur les solutions d'optimisation mathématique. Le candidat idéal doit posséder une formation technique et une expérience en développement logiciel, ainsi qu'une passion pour le secteur de l'énergie.

Qualifikationen

• Connaissances en AI/ML sont un plus.
• Expérience en environnement de trading ou d'utilité est favorable.
• Compétences en méthodologies Agile et gestion de projet appréciées.

Aufgaben

• Concevoir, développer et déployer des modèles de science des données.
• Analyser la faisabilité technique et fonctionnelle.
• Collaborer avec des développeurs pour intégrer des fonctionnalités.

Kenntnisse

Développement de logiciels

Optimisation mathématique

Python

Analyse des données

DevOps

Bases de données noSQL

Ausbildung

Diplôme de Master en mathématiques, statistiques, informatique ou discipline similaire

Tools

Docker

Git

GitHub Actions

MongoDB

Databricks

Cloud computing

Jobbeschreibung

Activités

Run & Change:

Profil du candidat

Informations supplémentaires

Contexte et environnement

Your mission

As part of the Optimization Services team, you will design, develop, deploy and support the Data Science models of the team’s systems/applications.

The Optimization Services team focuses on the multi-market multi-asset optimizations of short-term power trading. We are part of the Gas & Power IT department for the Trading business lines of the TotalEnergies company, whose main office is in Geneva with a presence on other continents (Singapore, Houston, Dubaï, etc.).

TotalEnergies Gas & Power Trading (TGP) and its affiliates has a large and complex systems environment, which is evolving with the expansion of the power trading business and its impact on trading IT. To accompany these evolutions, the Optimization Services team participates in a significant change program that will have notable impacts both on the short-term and the long-term. In this context, the team is leveraging Data Science and Mathematical Constrained Optimization, in particular MILP.

This role is global and focuses on the tools used by the front office and the integration into the overall energy management systems. The continuation of the systems performance, availability, and resilience, as well as scalability, need to be assured.

Activités

What you will do

Your focus will be on the Data Science models of the Optimization Service’s team applications. A significant part of these models will be based on Mathematical Constrained Optimization, in particular MILP. You will interact mainly with the team’s Business Analysts, Data Scientists and Back-end Developers.

Analyze:

Understand the business context and specifications

Analyze the technical and functional feasibility

Participate in the design authority processes

Produce:

Design, develop and deploy new functionalities according to business needs

Ensure the proper functioning of the deliverable through monitoring and testing

Ensure the models are seamlessly integrated in the related applications

Implement the adequate balance between model precision and computation complexity

Adjust the deliverables based on feedback

Ensure adherence to best practice, guidelines and procedures for development, test and deployment

Maintain compliance of development and related activities with audit, cybersecurity and other internal requirements

Run & Change:

Improve the existing applications based on business needs and priorities

Participate in the support of the existing applications

Communicate:

Collaborate with Back-end Developers to integrate features and ensure interoperability

Provide technical support and assistance to Business Analysts and other contributors for specifications, testing and the resolution of incidents / problems

Document the codes as well as the algorithms to facilitate maintenance and knowledge transfer

Ensure and maintain effective interactions with other relevant teams

Contribute to the community of Data Scientists

Profil du candidat

We expect you to have:

A Data Scientist / Optimization Expert background with a proficiency in software development

Knowledge and experience in Mathematical Constrained Optimization, in particular MILP

Proficiency in Python and its good practices

Interest for the power trading business

An ability to quickly understand the physical mechanisms for power assets (e.g.: how a battery works)

Educated to at least Masters degree level or an equivalent in mathematics, statistics, computer science or a similar discipline

It would be a plus if you had:

Knowledge of data and analytics, including AI/ML technologies, and their application for the power trading business

Experience in Agile methodologies and project management methodologies

Experience in a power utility or trading environment

Good skills on DevOps (Docker, Git, GitHub Actions)

Good knowledge of noSQL databases (MongoDB)

Experience with Databricks

Experience in Cloud-based environments

Your strengths

You are…

Able to solve complex problems

Rigorous

A Team player

Curious and open-minded

Dynamic and agile

Able to shift from detail-oriented to big-picture views

Languages

English : C1 level as minimum expectation

Competency in French is advantageous

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.