Lead Data Scientist - Artificial Intelligence & Machine Learning

Company: Schneider Electric
Location: Andover, Massachusetts, United States
Type: Full-time
Posted: 09.AUG.2021


Schneider Electric has an opportunity for a Lead Data Scientist - Artificial Intelligence & Machine Learningin our Andover, MAlocation. Schn...


Schneider Electric has an opportunity for a Lead Data Scientist - Artificial Intelligence & Machine Learningin our Andover, MAlocation. Schneider Electriccreates connected technologies that reshape industries, transform cities and enrich lives.Our 135,000+employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment. Great people make Schneider Electric a great company. Does working with data on a day to day basis excite you? Do you always look for solving business problems using data as your primary source of truth? Are you interested in enabling your consumers to forecast and predict what actions to undertake based on data? If this is what excites you, then youll love working in our intelligent automation team.

Schneider Digital is leading the digital transformation of Schneider Electric by building highly available, massive scalable digital platform for the enterprise.

We are looking for a passionate ML /AI Lead Data Scientist with proven ability to lead the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to drive powerful business results. You will have the opportunity to work with a wide range of stakeholders and functional teams to help them discover insights hidden in data sets and enable stakeholders to improve business. AI ethics, fairness and secure development practices are also our focus areas.


Partners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization
Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models
Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
Collaborate with data and software engineers to enable deployment of models that will scale across the companys ecosystem
Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers
Teach, lead, and counsel Data Science engineers in choosing the right machine learning approach & models while utilizing open source languages such as R, Python, etc.
Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity
Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner
Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms (e.g. XGBoost, H2Oai, Spark, Hadoop, etc.)
Build frameworks leveraging APIs to industrialize AI models across the organization
Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

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