Research Data Scientist

The Research Data Scientist (Internally titled: Lead Data Scientist) will be working with the Strategy and Innovation AI Research team to identify, evaluate and develop advanced Analytical, Machine Learning and AI Solutions for Schneider Electric's AI HUB and its internal and external customers.

The time horizon for the Research team is forward focused between 12 and 18 months.

The core challenges will be to identify and develop strategic, innovative and disruptive solutions for Schneider Electric and its customer by leveraging the Schneider DNA and cutting-edge AI/ML technologies.

Key Responsibilities:


* Take ownership for an entire project workstream or work with your colleagues jointly on a bigger project.


* Work with Schneider Electric Business Units and Partners on applied AI research or innovation projects.


* Develop Next Generation AI and Data Products together with Schneider Electric Clients and Partners


* Research and survey industrial reports and technical papers on latest industrial trends, case studies, models and methodologies in the areas of team's research.


* Successfully develop, conceptualize and test various statistical, AI and machine learning solutions to solve the future challenges.


* Researches and develops prototypes and POC machine learning and statistical models for business requirements and transfer the solutions to product teams.


* Partners with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization.


* Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem.


* Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models.


* Collaborate with solution data scientists and solution architects to enable deployment of models that will scale across the company's ecosystem.


* Work with Solution Data Scientists to upskill the team and transfer knowledge and technology.


* Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

Lead Data Scientist in Data and AI projects following state-of-the-art approaches for project execution from adapting existing solutions to new use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases, and engaging in cutting-edge research to develop novel solutions.

Basic Qualifications:


* Master's or Ph.D.

in Computer Science, Statistics, Engineering, Physics, Mathematics, Economics.


* Three or more years of AI research experience for Ph.D.

candidates and more than 5 years for master's candidates


* Minimum 3 years of experience in at least one of the following - Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Net...