Supply Chain Data Scientist - Gaithersburg, MD - Operations

Do you have experience in and a passion for project and portfolio management, efficiency, problem-solving, and supply chain? If so, then apply your expertise as Supply Chain Data Scientist in the Innovation Group within the Digital and Analytics Team (DNA) at AstraZeneca and make an impact in a company that follows the science and turns ideas into life-changing medicines?

Be part of shaping the next phase of Operations' journey towards the 2025 strategy. Build on our foundations of high performance through agility, responsiveness, reliability, and efficiency to deliver our new modalities and complex pipeline to market at speed. Backed by a supportive team, be part of accelerating our operational excellence with innovations in cutting-edge science, Lean ways of working, and fast-changing digital technologies

Big success can come from seeing potential in something small. We empower our people to seek these out, and we support them to pursue the opportunities they find.

Our Gaithersburg, MD campus employs more than 3,500 specialists in our field and is only a short drive from Washington, DC. This modern scientific campus is the home of R&D and Oncology in the US. Here, we play host to some of the most cutting-edge technology and lab spaces, all crafted to encourage teamwork and cross-functional science. This is where you'll find newly-designed, activity-based workspaces to suit a variety of working styles while growing teamwork between teams.

Supply Chain Digital & Analytics is charged with ensuring our stakeholders have access to the data, insights, and innovations required to deliver against our Supply Chain Digital Strategy. Tasked with supporting a rapidly expanding set of projects and analytical demand, we are seeking a Data Scientist, who can help advance the field within the Supply Chain Organization and deliver meaningful solutions that strive to solve our biggest challenges.

What you will do:

  • Help to establish and build our internal capability for Data Science, including Artificial Intelligence (AI), and Machine Learning (ML). You will help to upskill the broader team and bring awareness to the value Data Science offers our global supply chain.
  • Innovator, leading analytics projects and working with our Supply Chain Customers to solve meaningful challenges, that result in breakthroughs in understanding our business and driving results, impacting Customer Service, Efficiency, Cost, and Sustainability.
  • Collaborate with DNA team members and cross-functional peers to identify the use cases and data required to solve problems. You will need to know the right approach to address those use cases, be able to defend your methods, and how to translate and present the result into that which can easily be understood by all stakeholders.
  • Play a meaningful role in shaping 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.


Qualifications:

Education:
  • Bachelor's degree in a quantitative field (e.g., applied mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).


Required:
  • Minimum of two years experience in the areas of Operations Research and/or Supply Chain Projects (demand planning & forecasting inventory, optimization, network design, segmentation, and S&OP) in sophisticated and complex environments
  • Minimum of two years experience in advanced statistical modeling, machine learning, data mining, unstructured data analytics incorporate and/or academic research environments
  • Strong quantitative and analytical skills with a minimum of two years of experience with data science tools, including Dataiku or SAS, and two years of developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and others.
  • Basic Knowledge of software development principles and architecture.
  • Ability to break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods.
  • Familiarity with programming for data analysis; ideally Python, SQL, or R.


Preferred:
  • Consulting (internal or external) experience
  • Pharmaceutical industry experience
  • Supply Chain experience with a focus on Plan and/or Deliver
  • Proven knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains
  • Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients and experience in leading teamwork in delivering analytics solutions or Master's degree in a quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics or related field


Why AstraZeneca?

At AstraZeneca, we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients, and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.

So, what's next

Are you already imagining yourself joining our team? Good, because we can't wait to hear from you!

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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.

10000538 E SUSC Operations