Senior Data Scientist Job Description: We are searching for a strategic and inquisitive senior data scientist to develop and run with Supply chain data-centered projects. In keeping with this overarching aim, the senior data scientist will be required to outline work requirements, assign tasks to junior staff, and monitor performance within the team. You should also harness your mastery of Data Science to consult on various aspects of these and other projects. Experience level - 3 to 8 years Qualifications Senior Data Scientist Responsibilities: Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests. Collating and cleaning data from various entities for later use by junior data scientists. Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects. Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed. Selecting and employing advanced statistical procedures to obtain actionable insights. Cross-validating models to ensure their generalizability. Producing and disseminating non-technical reports that detail the successes and limitations of each project. Suggesting ways in which insights obtained might be used to inform business strategies. Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. Senior Data Scientist Requirements: Advanced degree in data science, statistics, computer science, or similar. Extensive experience as a data scientist. Proficiency in R or Python, where the former is preferred. In-depth understanding of SQL. Competent in machine learning principles and techniques. Demonstrable history of devising and overseeing data-centered projects. Ability to relay insights in layman's terms, such that these can be used to inform business decisions. Outstanding supervision and mentorship abilities. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. Compliance with prevailing ethical standards. Technical Skills: Python, Machine Learning and Artificial Intelligence, Azure MI/ML, Pytorch, Data Science, Logistics Regression, Object Detection, Deep Learning, Reinforcement Learning and Data Engineering. Eaton is an intelligent power management company dedicated to improving the quality of life and protecting the environment for people everywhere. We are guided by our commitment to do business right, to operate sustainably and to help our customers manage power ─ today and well into the future. By capitalizing on the global growth trends of electrification and digitalization, we’re accelerating the planet’s transition to renewable energy, helping to solve the world’s most urgent power management challenges, and doing what’s best for our stakeholders and all of society. Founded in 1911, Eaton has been listed on the NYSE for nearly a century. We reported revenues of $19.6 billion in 2021 and serve customers in more than 170 countries. Our culture is built on a strong commitment to practicing our core values and supporting our employees with the tools they need to succeed. We have demonstrated our passion for sustainability with the announcement of cutting carbon emissions from the company’s operations by at least 50 percent by 2030. Eaton is committed to having a workforce that is diverse and non-discriminatory at all levels, reflecting the diversity of our customers and the varied environments in which we conduct business around the world. Our success depends on our ability to attract and retain the very best people unlimited by race, color, social or economic status, religion, national origin, marital status, age, disability, veteran status, sexual orientation, gender identity or any protected status. Eaton follows relevant non-discrimination laws and regulations in the countries where we operate. It is the policy of the Company to make all decisions regarding employment, including hiring, compensation, training, promotions, transfers, or lay-offs, based on the principle of equal employment opportunity as defined above. Job: Supply Chain / Logistics Region: Asia Pacific Organization: Corporate Sector Job Level: Individual Contributor Schedule: Full-time Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No Does this position offer relocation?: Relocation from within hiring country only Travel: Yes, 10 % of the Time