Principal Data Scientist at Schneider Electric in Boston, MA
Does the idea of addressing complex data problems inspire you? Are you excited to your strong quantitative expertise to solve complex and large-scale challenges? Are you fascinated by the interactions between complex business processes and a data-oriented approach? If yes, we would love to speak with you. Here at Schneider Electric, we are transforming our business with AI & Automation technologies to empower end users with Machine Learning and Cognitive computing and generate business value. The AI & Automation team in Schneider Digital is looking for a top-notch Principal Data Scientist as part of product team. The goal is to be the authority on comprehensive machine learning solutions leveraging large scale data from enterprise systems and deliver insights to drive business value. This role will work with business stakeholders, product engineering team and executives to build comprehensive solutions. If you're excited by the opportunity to positively impact business processes through innovation and application of advanced technologies, you will feel at home. This role also offers significant What do you get to do in this position? Define the architecture for AI/ML platform at scale focusing on data. Build robust data pipelines, transformations to enable building ML models. Design frameworks for machine learning to answer targeted business questions. Build models, algorithms, simulations and experiments using state-of-the art machine learning technologies. Manage full spectrum from conducting experiments to delivering production ready models Work as part of a global team to deliver comprehensive solutions. Participate in working groups in addressing specific challenges / ad-hoc projects. Research emerging technologies deemed relevant to machine learning domain and product Qualifications We know skills and competencies show up in many different 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 for the position. This job might be for you if:
Quantitative Master's degree, PhD preferred in fields such as Computer Science, Computer Engineering, Machine Learning, Statistics, Mathematics. 10-12 years industry experience in Computer Science, Computer Engineering, Machine Learning, Statistics or related technical discipline. Expert knowledge with a scripting language (e.g. Python) and with an object-oriented language (e.g. C++, Java). Deep understanding of large-scale data platforms such as Apache Spark. Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models. Strong experience in working in a cloud environment such as AWS or Azure. A passion for implementing coding best practices across a team. Deep appreciation for diversity of thought and a proponent for collaborative solutions. Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences. Extensive experience with Agile and/or SaFe practices Strong communication skills - verbal and written. Good understanding of enterprise business processes.
Salary Range:
$150K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Quantitative Master's degree, PhD preferred in fields such as Computer Science, Computer Engineering, Machine Learning, Statistics, Mathematics. 10-12 years industry experience in Computer Science, Computer Engineering, Machine Learning, Statistics or related technical discipline. Expert knowledge with a scripting language (e.g. Python) and with an object-oriented language (e.g. C++, Java). Deep understanding of large-scale data platforms such as Apache Spark. Proficiency in the development, validation, implementation, and production launch of machine-learning algorithms and models. Strong experience in working in a cloud environment such as AWS or Azure. A passion for implementing coding best practices across a team. Deep appreciation for diversity of thought and a proponent for collaborative solutions. Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences. Extensive experience with Agile and/or SaFe practices Strong communication skills - verbal and written. Good understanding of enterprise business processes.
Salary Range:
$150K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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