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Senior Data Science
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
PA239-Parada / Museo Militar, Santiago, Región Metropolitana, Chile
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Description

At EY, you'll have the opportunity to build a career as unique as you are, with a global perspective, support, an inclusive culture, and technology to help you become the best version of yourself. We value your unique voice and perspective to help make EY even better. Join us and create an exceptional experience for yourself and a better working world for everyone. The opportunity: At EY Consulting, we've adapted to the nature of industries and the new needs of our clients, accompanying them through their digital transformation. We are innovative, agile, collaborative, and align business strategy objectives with new technologies. One of our pillars is transforming business through new technologies and innovation, attracting and engaging exceptional talent. EY Consulting is divided into two main areas: Business Consulting and Technology Consulting. Within Business Consulting, we carry out business strategy, process optimization, and change management projects. In Technology Consulting, we develop solutions related to Big Data & Analytics, Cybersecurity, SAP, Business Process Automation (RPA, NLP…), cloud environments, etc. Responsibilities: * You will lead the development of analytical and optimization solutions with a team of 5 people, providing end-to-end technical guidance for the project. * Responsible for gathering business rules from the client and ensuring their implementation in the solution. * Clearly communicate results, collaborate with stakeholders, and translate business challenges into high-impact models. * Drive projects that deliver value to the client, involving significant data science technical challenges and leveraging cutting-edge technology. Requirements: * Bachelor’s degree in Physics, Mathematics, or related Engineering fields. * Knowledge in Data Science and Python. * Certifications in data science or machine learning (e.g., Databricks Certified Data Scientist, Microsoft Azure Data Scientist Associate, Google Cloud Professional Data Engineer). * At least 4 years of professional experience in data science, including predictive model development, exploratory analysis, and generating business insights. Advanced proficiency in Python (and libraries such as pandas, scikit-learn, numpy, matplotlib) and/or PySpark in production environments. * Minimum of 4 to 7 years working in data science, ideally in dynamic environments (consulting, banking, retail, industry, telecom, etc.). Experience in designing and implementing predictive and/or optimization models applied to real-world problems. Experience leading projects or teams in developing analytical or technological solutions. * Experience in optimization models (linear programming, integer programming, heuristics, CP-SAT, etc.); developing solutions in the cloud (Azure, AWS, GCP); designing analytical architectures or production data pipelines. (DESIRABLE) Do you think this could be your next opportunity? If you'd like to join us, don't hesitate to submit your application! The EY experience is exceptional—build it. EY | Building a better working world – EY exists to build a better working world, helping our clients, people, and society create long-term value and market impact. Thanks to data and technology, our teams across more than 150 countries build trust and help clients grow, transform, and operate. Working in Audit, Consulting, Tax, Strategy and Transactions, EY teams ask the right questions to find new answers to the complex challenges facing our world today. **The exceptional EY experience. It's yours to build.** EY is a leading global firm offering Audit, Consulting, Strategy and Transactions, and Tax services, with an integrated network of over 280,000 professionals in 150 countries worldwide. Our purpose is to build a better business world for our people, our clients, and our communities. We continuously strive to improve service quality by investing in our people and innovation. The opportunities to grow, succeed, and develop at EY are limitless.

Source:  indeed View original post
Sofía Muñoz
Indeed · HR

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