Senior Data Scientist - Support Global Supply Chain
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 standardised ways of working driven by Lean. Embrace our standardised 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+ yr. proven experience in Statistical Modeling, Machine Learning, Data Mining, Unstructured Data Analytics, incorporate and/or Academic Research environments-
-8+ yr. 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, etc.)
Desirable Skills/Experience:
- Master’s degree in a quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics or related field.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world.
Why AstraZeneca?
With constant new products and launches, there's never been a better time to join Supply Chain and craft our future with a big contribution to life-changing medicines. Our resilience helps us to thrive as we innovate and evolve. Ours is a safe and positive space where ideas are encouraged and rewarded. As part of an agile team it's crucial we speak up to offer innovative approaches for process improvements and faster execution. It's our patient focus that drives us. If you want to make a big impact, this is the place for you. Our contribution to life changing medicines is why people have been here for decades. We do it for the patients.
Are you ready to join our team and make a difference? Apply now and let's craft the future together!
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. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.
