8.0 - 12.0 years

0 Lacs

pune, maharashtra

On-site

The Centre for Intelligent Power, situated at Eaton India's Innovation Centre in Pune and Eaton's global headquarters in Dublin, is dedicated to applying data science to revolutionize all facets of the company. As the Lead Data Scientist, you will collaborate with Eaton's product groups to innovate new data-science based product features, primarily focusing on emergent use cases in the industrial and energy sectors. Your responsibilities will include analyzing requirements, researching, and developing Machine Learning techniques, ensuring the production and monitoring of features, while considering system constraints related to resource-constrained platforms. You will work closely with Eaton business units to identify opportunities to leverage data science for enhancing future product features. Leading the research and development of complex problem statements on diverse datasets using cutting-edge data science techniques will be a key aspect of your role. This will involve designing and developing algorithms and datasets while accounting for system constraints and platform requirements. In addition to managing project roadmaps, estimating timelines and resources, you will proactively address technical challenges throughout the project lifecycle. Effective documentation and communication of solutions through various mediums will be crucial. Your role will require independent project leadership, breaking down projects into technical requirements, and collaborating with cross-functional teams such as Data Engineers, DevOps, MLOps, QA, and UI/UX teams to ensure successful project execution. Furthermore, you will mentor and guide team members in utilizing data science tools, techniques, and best practices. Staying abreast of the latest advancements in data science methodologies, tools, and technologies, safeguarding intellectual property, and contributing to patent filings, IP creation, disclosures, and white paper publications will also be part of your responsibilities. **Qualifications:** - Masters degree or higher in Electrical, Mechanical, Electronics, Telecommunications, or related numerate degree - 9+ years of experience in applying data science to real-world problems - PhD in relevant domain with 8+ years of experience **Skills:** - Extensive practical experience in developing algorithms using AI/ML techniques - Proficiency in Python programming and adherence to coding best practices - Agile development methodologies - Strong verbal and written communication skills - Stakeholder management and academic literature engagement - Research-oriented mindset and literature search ability **Desired Skills:** - Proficiency with GenAI tools - Knowledge of big data technologies and cloud-based platforms - Experience with large datasets and statistical model development - Track record of writing disclosures, patents, or white paper publications - Effective technical communication in virtual and global teams - Curiosity, problem-solving skills, and a team player mindset,

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