Senior Data Scientist (M/F) m/f

Within the Innovation, Development and Technologies teams, you will contribute to making connected data a differentiator for SOMFY: a source of innovative services for our B2B and B2C customers and users! This position offers the opportunity to innovate through data to fuel the strategic ambitions of the SOMFY Group in connection with numerous local and international stakeholders.

Activities: Have a good vision of the SOMFY ecosystem: the Group's challenges, its business model, its products, its customers and particularly its connected services, but also well understand and integrate into the governance of the Data Science function at SOMFY, the tools, the routines, the people Understand customer and business needs, the available data (and unavailable data) Propose new analytics / data science / AI agent models that meet business needs by demonstrating creativity, documenting the advantages and disadvantages of each option and proposing a recommendation Design and implement documented, modular and maintainable code Coordinate and be the technical lead for activities in connection with IT, Data and other teams to meet business requests Contribute to producing - with the business lead - the analyses intended for top management which will demonstrate the value and potential impact of the model once deployed at scale Participate in spreading the Data/AI culture/skills to all technical teams

Required skills: Applied mathematics (ML, optimization, simulation...): Advanced mastery of Data Science and Machine Learning methods allowing for the design of innovative models responding to complex business issues. Technical expertise (Python - expert level / Azure A.I. (or equivalent), Git): Expertise in the development, industrialization and deployment of robust, maintainable and scalable Data & AI solutions in cloud environments. Project management (Anticipation and proactivity / risk management): Ability to manage complex subjects autonomously, to anticipate risks and to coordinate stakeholders to achieve set objectives. Business acumen (business model / local specificities / knowledge of solutions & customers): Deep understanding of business challenges, offerings and customer uses in order to guide analytical choices towards value creation Communication and Influence: Ability to dialogue with various profiles (tech, marketing, product) and to popularize data analyses and the underlying data Development and production of AI agents. Ability to dialogue with various profiles (tech, marketing, product) and to popularize data analyses and the underlying data. Fluent English. Rigor, autonomy to navigate the organization and a taste for the concrete.

Education & Experience: Master's degree, Engineering degree or PhD in a quantitative field (maths, physics, data science, computer science). At least 5 years of experience as a data scientist in a tech, B2C and/or IoT environment. Initial experience in IoT or industrial IoT is a plus.