Lead Data Scientist, Timeseries ML & Optimization

Schneider Electric
Canton de Grenoble-2, France
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Canton de Grenoble-2, France

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Continuous Integration
IBM ILOG CPLEX Optimization Studio (CPLEX)
Data Presentation
Software Debugging
DevOps
Github
Python
Linear Programming
Machine Learning
Mathematical Programming
NumPy
Open Source Technology
TensorFlow
Signal Processing
Software Engineering
Visual Analytics
Reinforcement Learning
Google Cloud Platform
Analytic Functions
Deep Learning
Pandas
Matplotlib
Pytest
Scikit Learn
Plotly
Data Management
Dynamic Programming
Software Library

Job description

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability. Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization., * interact continuously with internal or external customers to gain a good understanding of their needs, propose relevant solutions, and support them as needed,

  • collect, evaluate and select Artificial Intelligence / Machine Learning use cases, with a focus on business value and business and technical risks - in partnership with the Product Managers
  • specify, design, implement, test, validate, and industrialize machine learning, optimization, advanced data management, artificial intelligence, and analytic functions to be integrated in internal or external products, systems and solutions - i.e. from technical risk exploration to operational deployment,
  • contribute to cutting-edge innovation / technology actions (e.g., prototype developments, experimentations, analytic competitions) involving research, standardization, development of intellectual property - patents, papers, open source -, partnerships, etc.
  • apply maturation and development processes and good practices defined within the Artificial Intelligence Hub, and contribute to their updates in an ever-evolving context,
  • share knowledge, teach and coach within the Artificial Intelligence Hub and beyond,
  • promote Schneider Electric's strategy in the Analytics / Artificial Intelligence / Data Science domain through papers, blogs, conference presentations, and contribute to internal and external cross-function communities.

Requirements

  • Master or PhD or equivalent diploma in optimization / operational research and timeseries machine learning / data science / artificial intelligence
  • Additional education in signal processing, control theory, statistics is valuable.
  • Additional education in genAI, agentic frameworks, etc. is valuable
  • 3-5 years of experience in optimization preferably with timeseries (optimal control / model predictive control / predict-then-optimize, optimal scheduling / planning), machine learning with timeseries (clustering, classification, profiling, forecasting, fault and anomaly detection, predictive maintenance), mathematical programming (efficient coding of vectors and matrix-based algorithms), visual analytics and data exploration.
  • Mastered technologies are expected to include Model Predictive Control and Mixed-Integer Linear Programming. Experience with constraint programming, dynamic programming, stochastic programming, metaheuristics, reinforcement learning or other optimization technologies would be a plus.
  • At least 2 years of experience in optimization modeling and application development preferably in the energy management field.
  • An extra experience in genAI, probabilistic modeling or statistics is valuable
  • Very good data analysis skills and data storytelling, ability to explain complex things in a simple way.
  • Good knowledge of industrial python
  • Good software engineering experience: capacity to code, debug, test and troubleshoot throughout the application development process and in agile mode
  • Significant experience with data and machine learning libraries: numpy, pandas, scikit-learn, plotly, matplotlib, glpk, cplex, pyomo, polars, pyarrow, tensorflow…
  • Working knowledge of git/github ; Knowledge of the pytest framework
  • Possible knowledge or experience of devops tools, CI/CD with github actions, cloud (Azure, AWS, GCP)
  • Very good communication skills, pragmatism, and rigor
  • team player
  • listening to others, and conveying messages in an accurate and effective manner
  • able to explain complex concepts and features to anyone with different mindset/different skills - pedagogical skills.
  • Leadership competencies
  • Eager to understand business context and implications
  • Entrepreneur mindset, contributing innovative ideas, taking risks, challenging status quo
  • Sense of responsibility / ownership when facing difficulties. Resilience and trust in others.
  • Network builder, promoting synergies within the company and with external partners
  • Consistently involving all stakeholders in plans and decisions that affect them
  • Fluent in english

We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.

(External) English Company Boiler Plate

About the company

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric - apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World's most sustainable corporations You must submit an online application to be considered for any position with us. This position will be posted until filled. Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

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