Sr. Data Scientist Positions are open to Mexican Citizens and official residents of Mexico.
Location: Guadalajara (hybrid)
Strong English communication skills required.
Join our diverse team, where we ensure our partners have access to the data, insights, and innovations required to deliver against our Supply Chain Digital Strategy. We are seeking Data Scientists who can help advance the field within the Supply Chain Organization and deliver substantial solutions that strive to solve our biggest challenges. This is your chance to thrive with standardized ways of working driven by Lean. Embrace our standardized approach to drive efficiencies through our processes and focus us on the essentials.
Accountabilities: As a Sr. Data Scientist, you will lead analytics projects and work with our Supply Chain Customers to take on significant challenges, resulting in breakthroughs in understanding our business and driving results, impacting Customer Service, Efficiency, Cost, and Sustainability. You will advance the development of internal capability for Data Science within supply chain, including Artificial Intelligence (AI) and Machine Learning (ML). You will play a significant role in crafting the future of analytics in the supply chain organization. You will engage with key stakeholders in operations and IT to advance the quality of analysis and data science capabilities.
Essential Skills/Experience: 8+ years proven experience in Statistical Modeling, Machine Learning, Data Mining, Unstructured Data Analytics, and/or Academic Research environments.8+ years experience with Data Science tools, including Dataiku, SAS, AWS Sagemaker, and Machine Learning methods (Clustering, Regression, Optimization, Recommendation, Neural Networks).Desirable experience in Supply Chain Projects (Demand planning & forecasting, Inventory Optimization, Logistics, Network Design, Segmentation, and S&OP).Bachelor's degree in Applied Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Operations Research, Quantitative Social Science, or related fields. Desirable Skills/Experience: Master's degree in a quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related field.
Are you ready to join our team and make a difference? Apply now and let's craft the future together!
Date Posted: 22-Oct-2024
Closing Date: 14-Nov-2024
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.
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