AI Industry Lead Consultant Full-time

Schneider Electric‘s purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On.

We are driving digital transformation by integrating the most advanced energy and automation technologies. We connect products, control platforms, software and services throughout the lifecycle of our customers’ activities to the cloud for integrated management of residential housing, commercial buildings, data centers, infrastructures and industries.

Within the Schneider Digital entity, we are currently developing a distributed global AI Hub between the United States (Boston), India (Bangalore) and France (Paris/Grenoble) to deliver innovative AI projects at scale and make Schneider Electric become an AI-driven organization.

The AI Industry Lead Consultant will be working with the New Value Streams team to identify, evaluate and develop advanced Analytical, Machine Learning and AI Solutions for Schneider Electric’s AI Hub and its clients. The core challenges will be to find creative solutions for Client Challenges by leveraging the Schneider DNA and the wealth of methodologies from the AI/ML World.

Responsibilities:

• Lead an Industry Segment Team of AI Industry Consultants including team management, team development, Research & Career Development
• Provide AI Consulting Services to Schneider Electric Clients and Partners
• Develop AI and Data Strategies together with Schneider Electric Clients and Partners
• Successfully develop, conceptualize and test various statistical, AI and machine learning solutions to solve the challenge at hand
• Integrate the outcomes into the existing Schneider EcoStruxure Landscape to elevate Schneider Electric’s ability to create value for clients in areas and through means not immediately apparent to clients
• Researches, develops and maintains machine learning and statistical models for business requirements
• 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
• Build frameworks leveraging APIs to industrialize AI models across the organization
• Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models
• Build frameworks leveraging APIs to industrialize AI models across the organization
• Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem
• Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

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

You’ re interested in solving real world problems with AI? Join us for a sustainable, digital new electric world and make a true impact for sustainability.

Qualifications

• Masters or Ph.D. (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics)
• Minimum 7 years of Data Science experience for Ph.D. candidates and 9 years for master’s candidates
• Minimum 7 years of work experience in relevant domains (Energy, Water & Wastewater, Mining, Metals & Minerals, Consumer Packaged Goods) – with hands on experience handling data driven decisions
• Minimum 7 years of experience in at least one of the following – Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models, Deep Learning, Genetic Algorithms, Fuzzy Logic, Inference Systems
• Minimum of 7 years of experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments
• Minimum of 7 years of experience in consulting or relevant client facing engagements
• Minimum 5 years of experience in statistical software – Python, R, Octave, TensorFlow, Caffe or Theano)
• Minimum 5 years of programming experience (Python, R or similar)

Preferred Qualifications:

• AI and Data Consulting field experience
• Familiarity with relational databases and intermediate level knowledge of SQL
• Ability to think creatively to solve real world business problems
• Ability to work in a global collaborative team environment
• Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in a production setting
• Knowledge of UNIX or Linux environments
• Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc.
• Experience working with large data streaming technologies like Spark, Flink, etc.
• Familiarity with relational databases and intermediate level knowledge of SQL
• Proficient verbal and written communication skills in English

Great people make Schneider Electric a great company. To co-create tomorrow, we give our employees the opportunity to challenge the status quo and to undertake. We value diversity and promote well-being and flexibility within our work environment.

Present in 115+ countries around the world, we are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values. Take part in the Schneider Electric adventure, join us!