Lead Data Scientist - Artificial Intelligence & Machine Learning

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

Summary

Schneider Electric has an opportunity for a Lead Data Scientist - Artificial Intelligence & Machine Learning in our Andover, MA location. Sc...

Description

Schneider Electric has an opportunity for a Lead Data Scientist - Artificial Intelligence & Machine Learning in our Andover, MA location. Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives.Our 13 5 ,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 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 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. Responsibilities 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 company's 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) We know skills and competencies show up in many different ways and can be based on your life experience. If you do no t necessarily meet all the requirements that are listed, we still encourage you to apply for the position . 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 10 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 supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable Exploratory data analysis 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 Experience in data visualization software such as Tableau, ELK, etc is a plus 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 other IT development partners 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: . 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. 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.

 
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