• Job Description

  Req#: 60646
  Schneider Electric has an opportunity for a Data Scientist in our Boston or Andover, MA location. Schneider Electric creates 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. https://youtu.be/4EtpkB0cuXE Great people make Schneider Electric a great company. The Secure Power Division within AI HUB of Schneider Electric is looking to hire a Senior Data Scientist to join a team that builds, tests, and deploys data-driven models for our products, systems, and services. Our team is dynamic and collaborative. We are committed to helping each other whenever faced with solving theoretical and practical data science challenges. The Office of the CTO fosters a culture where employees are encouraged and supported to grow long-term careers at Schneider Electric. Our data science efforts are interdisciplinary – incorporating understanding and methodology from engineering, computer science, statistics, operations research, machine learning, and artificial intelligence. You will design and validate models in Python and R, utilizing data from Schneider Electric repositories and laboratories -- and external sources. This role provides you with the opportunity to apply data science to the rapidly growing Internet of Things. Our models are embedded in products and offers that support critical infrastructure across a multitude of industries. 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. Responsibilities: Develop Schneider Electric and Secure Power Division subject-matter expertise Work with product managers to better understand internal and external customer pain points, needs, and expectations Be a trusted partner to other SE data science, analytics and software teams and enable them to use data to run analytics at scale and integrate IoT analytics within product platforms Create proof-of-concepts and prototypes of data science solutions in Python or R with reproducible and well-documented code Demonstrate and illustrate performance of methods to stakeholders through data visualization packages and platforms. Partner 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 Ability to work across the spectrum of statistical modelling including supervised, unsupervised, & NLP techniques to identify the right approach to solving a given problem. Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem 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. Build frameworks leveraging APIs to scale ML models across the organization Requirements: You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems, or another quantitative field. A PhD in a quantitative field is a big plus. You should have 6+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory. In-depth understanding and modeling experience in a range of ML models: supervised, unsupervised, NLP, and others; hands-on experience with data mining, data cleaning and preparation. Working knowledge of Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML. Fluency in programming skills such as Python and R. Working knowledge with databases such as MySQL, Oracle, and SQL Server. Experience working with Azure and Databricks. Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and stakeholders. Schneider Electric offers a robust benefits package to support our employees such as flexible work arrangements, paid family leave, 401(k)+ match, and more. Click here to find out more about working with us: http://se.com/us/careers We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We’re recognized around the world for welcoming people as they are. We create an inclusive culture where all forms of diversity are seen as a real value for the company. See what our people have to say about working for Schneider Electric. https://youtu.be/C7sogZ_oQYg Let us learn about you! Apply today. You must submit an online application to be considered for any position with us. This position will be posted until filled. It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such. Schneider Electric is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Why us? Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive. €25.7bn global revenue 137 000+ employees in 100+ countries 45% of revenue from IoT 5% of revenue devoted for R&D You must submit an online application to be considered for any position with us. This position will be posted until filled It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such.
  Requirements: You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems, or another quantitative field. A PhD in a quantitative field is a big plus. You should have 6+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory. In-depth understanding and modeling experience in a range of ML models: supervised, unsupervised, NLP, and others; hands-on experience with data mining, data cleaning and preparation. Working knowledge of Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML. Fluency in programming skills such as Python and R. Working knowledge with databases such as MySQL, Oracle, and SQL Server. Experience working with Azure and Databricks. Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and stakeholders. Schneider Electric offers a robust benefits package to support our employees such as flexible work arrangements, paid family leave, 401(k)+ match, and more. Click here to find out more about working with us: http://se.com/us/careers We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We’re recognized around the world for welcoming people as they are. We create an inclusive culture where all forms of diversity are seen as a real value for the company. See what our people have to say about working for Schneider Electric. https://youtu.be/C7sogZ_oQYg Let us learn about you! Apply today. You must submit an online application to be considered for any position with us. This position will be posted until filled. It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such. Schneider Electric is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
  Schneider Electric has an opportunity for a Data Scientist in our Boston or Andover, MA location. Schneider Electric creates 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. https://youtu.be/4EtpkB0cuXE Great people make Schneider Electric a great company. The Secure Power Division within AI HUB of Schneider Electric is looking to hire a Senior Data Scientist to join a team that builds, tests, and deploys data-driven models for our products, systems, and services. Our team is dynamic and collaborative. We are committed to helping each other whenever faced with solving theoretical and practical data science challenges. The Office of the CTO fosters a culture where employees are encouraged and supported to grow long-term careers at Schneider Electric. Our data science efforts are interdisciplinary – incorporating understanding and methodology from engineering, computer science, statistics, operations research, machine learning, and artificial intelligence. You will design and validate models in Python and R, utilizing data from Schneider Electric repositories and laboratories -- and external sources. This role provides you with the opportunity to apply data science to the rapidly growing Internet of Things. Our models are embedded in products and offers that support critical infrastructure across a multitude of industries. 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. Responsibilities: Develop Schneider Electric and Secure Power Division subject-matter expertise Work with product managers to better understand internal and external customer pain points, needs, and expectations Be a trusted partner to other SE data science, analytics and software teams and enable them to use data to run analytics at scale and integrate IoT analytics within product platforms Create proof-of-concepts and prototypes of data science solutions in Python or R with reproducible and well-documented code Demonstrate and illustrate performance of methods to stakeholders through data visualization packages and platforms. Partner 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 Ability to work across the spectrum of statistical modelling including supervised, unsupervised, & NLP techniques to identify the right approach to solving a given problem. Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem 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. Build frameworks leveraging APIs to scale ML models across the organization

• About the company

  Schneider Electric SE is a French multinational company providing energy and automation digital solutions for efficiency and sustainability. It addresses homes, buildings, data centers, infrastructure and industries, by combining energy technologies, real-time automation, software and services.

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