Data Scientist

• Company Schneider Electric
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Schneider Electric is leading the digital transformation of energy management and automation in homes, buildings, data centers, infrastructure and industries. With a global presence in more than 100 countries, Schneider Electric is the undisputed leader in energy management – medium voltage, low voltage and secure power supply, and automation systems, providing integrated efficiency solutions, combining energy, automation and software.

At Schneider Electric, our strategy has long been to consider environmental, social and governance issues in every aspect of our business, while helping our customers and business partners achieve their own sustainability goals. We are very honored to be ranked as the most sustainable company in the world in 2021 by the Corporate Knights Global 100 Index. This ranking highlights the company's transformation as a leading digital solutions provider, facilitating energy efficiency and sustainability.

In order to remain a major player in this transformation, Schneider Electric's Global Supply Chain Europe department is strengthening its "intelligent and advanced digital solutions" teams.

Would you like to be part of this exciting adventure? Are you ready to share your data skills and knowledge with us?

If you are someone who can solve problems using data as your primary source of truth, someone who is interested in solutions to predict actions to be taken on the database and you want to be part of a brand new team whose mission is to take all European teams in the global supply chain to the next level; then you are potentially our future collaborator!

We are looking for a passionate ML/AI engineer who has demonstrated the ability to drive results by leveraging AI, Machine Learning and Deep Learning techniques. As such, you will have the opportunity to work with a wide range of stakeholders and teams, to help them solve industrial or logistical problems and thus enable them to be more efficient.

Your missions:

Analysis (use cases, AI, data science, all the corresponding data...);

Specification, design, implementation, testing, validation and industrialization of advanced data management, artificial intelligence and analytical functions to develop a self-sustaining process;

Contribution to technology monitoring (scientific literature, patents, trend analysis, business valuation) and experimentation with new technologies, new tools and processes, in order to improve products and services as well as development practices within the company;

Contribution to the identification and evaluation of potential external partners;

Knowledge sharing and community training.

Qualifications:

Ideally, you have two years of experience in data processing, analytics, AI and/or data science model development.

Master's, Doctorate or equivalent degree in the following fields:

Analytics, Artificial Intelligence, Data Science or in a related field

Software engineering competence/experience: Ability to perform coding, debugging, testing (including unit testing, functional testing, and integration testing), troubleshooting throughout the application development process and in agile mode.

Experience with leading machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML, etc.

Proficiency in programming, via Python, R or other equivalent languages

Very good knowledge of vector algebra, statistical and probabilistic modeling

Good knowledge of databases like MySQL, Oracle, SQL Server, NoSQL, etc.

Communicational fluency, especially for data storytelling: ability to convince

Autonomy & ability to cooperate.

Open-mindedness & scientific rigour.

Fluent English.

The little extras that will make the difference:

Knowledge of exploratory data analysis and hypothesis testing to identify Machine Leraning and Deep Learning opportunities

Experience working with Amazon SageMaker or Azure ML Studio for deployments