Lead, Data Scientist

Responsibilities

• Researches, develops, and maintains machine learning and statistical models for business requirements

• Partners with lines of business to translate business problems into analytics, 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 on cloud as well as on device deployments

• 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)

Requirements and Skills

• You should have Bachelor's or Master's degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field

• You should have 4 to 5 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least on machine learning solution to production is required.

• In-depth understanding and modelling experience in supervised, unsupervised, reinforcement and deep learning models

• Knowledge of vector algebra, statistical and probabilistic modelling and/or optimisation/OR techniques is highly desirable

• Excellent Exploratory data analysis is mandatory and hypothesis testing to identify ML opportunities is a plus

• Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.

• Fluency in programming skills such as Python, R, or other equivalent languages

• Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable

• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus

• Strong analytical and critical thinking skills

• Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners

About Us

Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 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/NlLJMv1Y7Hk .

Great people make Schneider Electric a great company.

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 want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We're looking for people with a passion for success - on the job and beyond. See what our people have to say about working for Schneider Electric: https://youtu.be/6D2Av1uUrzY .

Qualifications

Description - External

Sr. Data Scientist - Artificial Intelligence & Machine Learning

Job Profile

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 you'll 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 Data Scientists and ML /AI engineer with proven ability to drive business results leveraging large scale analytics, AI, Machine Learning and Deep Learning techniques. You will have the opportunity to work in a multi-stakeholders and functional teams to help them discover insights hidden in data sets and enable product owners to improve business. AI ethics, fairness, explainability and secure development practices are also our focus areas.

Responsibilities

• Researches, develops, and maintains machine learning and statistical models for business requirements

• Partners with lines of business to translate business problems into analytics, 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 on cloud as well as on device deployments

• 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)

Requirements and Skills

• You should have Bachelor's or Master's degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field

• You should have 4 to 5 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least on machine learning solution to production is required.

• In-depth understanding and modelling experience in supervised, unsupervised, reinforcement and deep learning models

• Knowledge of vector algebra, statistical and probabilistic modelling and/or optimisation/OR techniques is highly desirable

• Excellent Exploratory data analysis is mandatory and hypothesis testing to identify ML opportunities is a plus

• Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.

• Fluency in programming skills such as Python, R, or other equivalent languages

• Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable

• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus

• Strong analytical and critical thinking skills

• Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners

About Us

Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 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/NlLJMv1Y7Hk .

Great people make Schneider Electric a great company.

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 want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We're looking for people with a passion for success - on the job and beyond. See what our people have to say about working for Schneider Electric: https://youtu.be/6D2Av1uUrzY .

Schedule: Full-time
Req: 008Q0A