Senior, Data Scientist

Job Profile - Lead, Data Scientist

We are looking for a passionate ML /AI Lead Data Scientist with demonstrated thought-leadership & 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 & share best practices with data and software engineers to enable consistent deployment of high-quality 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

• Mentor & lead Data Science engineers in choosing the right machine learning approach/ models & 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

• Track emerging developments w.r.t technology, tools, practices, etc in the open source, data science/machine learning/chatbot domain and leverage same for Schneider Electric

• 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)

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 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 of NLP, LLM, Generative AI, RAG application development.

• 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 vect...