Data Scientist

TotalEnergies Gas and Power is the trading arm of TotalEnergies in the field of low carbon energies (mainly gas, LNG and power).

As such it operates in fast-evolving market dynamics influenced by internal and external factors that require constant adaptation and evolution.

Uncertainties specific to the trading environment (volatility of prices, supply & demand mismatches) are coupled with those coming from the broader energy sector (climate change policies, changes in the energy mix, developments of new energy sources, etc).

In such context Trading helps to ensure growth and profitability to a key segment of the business in order to reach the objective of Carbon Neutrality by 2050.

Before applying for this role, please read the following information about this opportunity found below.

PURPOSES

• Enhance TGPNA’s ability to leverage data in order to model and optimise power assets / portfolios / strategies and help generate additional value for the Company by driving the right trading decisions.
• Reply promptly and reactively to business needs and requests from traders (predominantly power) and management.
• Supply guidelines and support to the teams on any topics involving analysis and modelling of large data sets.

Activities

Your missions as a Data Scientist include :

• Contribute primarily to our in-house suite of short and mid-term power price forecasting models (fundamental / stack optimization, machine learning) and to other models developed and maintained by the team.
• Develop analytics and impactful visualization around these models to drive trading idea generation.
• Mine data and build data pipelines feeding into the models.
• Contribute to the development and maintenance of statistical and quantitative models.
• Develop scripts to enable automation and process optimization.
• Work with Power trading desks and other stakeholders throughout the organization to identify, prioritise and structure complex and unique problems where advanced analytics projects or tools can have the biggest impact.
• Lead projects with hands-on analysis and modelling to choose the right tool and right level of complexity to reach business objectives.
• Ensure technology and methodology watch. Conduct extensive investigation to conceive new methods, procedures, and policies.
• Collaborate with IT and data engineering teams to productionize models.

DIMENSIONS

The Quantitative and Trading Analysis (Q&TA) team aims at providing a better understanding of the markets traded by TotalEnergies Gas and Power North America (TGPNA) in terms of prices and fundamentals, finding ways to model and forecast their dynamics and dealing with complex issues requiring a quantitative approach (pricing, hedging and simulations of complex products, transactions, or assets).

The Q&TA team is formed of market fundamentals experts, data scientists, meteorologists, and quantitative researchers.

Candidate Profile

You are someone who possesses the following experience and credentials :

• Master’s degree in a mathematics subject.
• Minimum of 5 years in a quantitative role, preferably on a trading floor.
• Experience with data architecture and cloud environments, particularly AWS.
• Strong Python coding skills (Object-Oriented Programming) with data science libraries.
• Knowledge of SQL Server, MongoDB, and familiarity with machine learning and optimization techniques.
• Familiarity with US electricity markets (ERCOT, PJM, CAISO) or other financial markets.
• Experience with power data, modeling, and forecasting.
• Ability to explain and present complex issues clearly.
• Experience with transaction data is a plus.
• Autonomous, innovative, organized, and able to thrive in fast paced, deadline-driven environments.
• Fluent in English, knowledge of French is advantageous.

Additional Information

TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.

At TotalEnergies we know that you're more than what's on your CV. If this opportunity excites you, but your profile doesn't exactly match the description above.

give it a try & apply. Diversity of perspectives & experiences make us stronger.

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