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Data Science Engineer
Il y a 2 mois
Schneider Electric is a global leader in energy management and automation, empowering individuals and organizations to make the most of their energy and resources. Our mission is to bridge progress and sustainability for all, and we're committed to driving digital transformation through the integration of advanced energy and automation technologies.
Job SummaryWe're seeking a highly skilled Senior Data Engineer to join our AI Solutions team in charge of developing innovative AI projects at scale. As a key member of our team, you'll contribute to the design, development, and deployment of advanced data processing applications within our product and service offers in the Energy Management and Industrial Automation domains.
Responsibilities- Analyze complex data processing use cases and corresponding data to identify opportunities for improvement.
- Specify, design, implement, test, validate, and industrialize advanced data management functions to be incorporated in products, systems, and solutions.
- Contribute to state-of-the-art monitoring, technological watch, and experimentation of new technologies, tools, and processes to improve products and services as well as development practices within the company.
- Identify and evaluate potential external partners to collaborate on AI projects.
- Contribute to intellectual property protection, capitalization of knowledge, and internal and external communication.
- Master or PhD or equivalent diploma in Computer Science with a minimum of 2-3 years of experience in Data Engineering (Processing, Pipelines, etc).
- Python, Spark, PySpark, SQL/NoSQL, ETL/ELT skills.
- Experience with public cloud services: Microsoft Azure and/or AWS.
- Knowledge of technologies such as Databricks, Kubernetes, Docker, OpenDataSoft would be an asset.
- AI exposure (Data Science, Machine Learning, MLOps) and Big Data / Data Analysis / Data Visualization background would be an asset.
- Software engineering skills/experience: capacity to perform coding, debugging, testing (including unit tests, functional tests, and integration tests) and troubleshooting throughout the application development process and in agile mode.
- Knowledge of other programming languages would be an asset: Java, C++, C#, JavaScript, R, Matlab.
- Ideally, some knowledge of Energy Management and Automation markets.
- Orientation towards solving problems, achieving results, and applying technology to real-life business cases.
- Effective communication skills including aptitude for data-driven storytelling: convincing with words, impacting with data, and influencing with visuals.
- Autonomy and capacity to cooperate.
- Openness of mind and scientific rigor.
- Fluent in English.
We're an equal opportunities employer and welcome applications from diverse candidates. If you're passionate about solving real-world problems with AI and making a sustainable impact, we'd love to hear from you.
