Senior Data Scientist H / F

Sigma Suisse  is seeking for it's client, a company in the trading sector, a Data Scientist with experience in the physical world :   commodity industry, transportation or logistics :

We are seeking a skilled professional to join our client's team specializing in data science and machine learning. This role involves collaboration with various departments, including technical experts, software developers, and business teams, to develop and implement advanced analytical models and applications.

The position spans multiple areas such as trading, operational processes, and other supporting functions, requiring adaptability to diverse technologies and stakeholder needs. The selected candidate will be involved in every stage of project development, from defining objectives with stakeholders to data preparation, exploratory analysis, model optimization, and deployment of production-ready solutions.

This role demands a hands-on approach to handling complex datasets and delivering actionable insights. The candidate will join a group of experienced professionals focused on addressing significant challenges within the energy sector while exploring innovative possibilities for improvement.

Job Description

Apply data science to development applications in the commodities trading sector

Design and implement optimization, improvement, and automation solutions for trading applications

Analyze data related to physical movements (vessel locations, etc.) in the commodities industry

Develop models and analyses to extract insights from physical world data

Collaborate closely with the software development team to create clean and modular code

Participate in the continuous improvement of existing trading applications

Qualifications

Degree in Computer Science, Data Science, or related field

5 to 10 years of experience in data science, ideally in the commodities sector

Strong skills in mathematics, statistics, and machine learning

Advanced proficiency in Python and ability to write clean, modular, and well-documented code

Proven experience analyzing data related to the physical world (transportation, logistics, etc.)

Ability to translate complex problems into effective technical solutions

Knowledge of the commodities sector and trading applications is a significant advantage

Experience in C# development appreciated but not mandatory