Data Scientist- Global Quality Operations

Company: AstraZeneca Pharmaceuticals LP Company
Location: Gaithersburg, Maryland, United States
Type: Full-time
Posted: 07.APR.2021


Data Scientist, Global Quality- OperationsWould you like to apply your expertise to impact the Quality Operations in a company that follows ...


Data Scientist, Global Quality- OperationsWould you like to apply your expertise to impact the Quality Operations in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!At AstraZeneca we are guided in our work by a strong set of values, and we're resetting expectations of what a bio-pharmaceutical company can be. By truly following the science, we pioneer new methods, new thinking and bring unexpected teams together. With 26 production facilities in 18 countries the work of Global Quality, is meaningful and valued. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, willing to collaborate, and curious about what science can do, then you're our kind of person. Hear from our Senior Leaders about why they know AstraZeneca is a great place to work. Data Scientist combines data, computational science, and technology with business knowledge in the business setting, to drive high-value insights into the business and drive high-impact through the business levers. The Data Scientist delivers new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings. They will also perform ad-hoc data mining and exploratory statistics tasks on very large data-sets related to our strategies. In this capacity, the selected individual will also prepare reports and presentations for relevant partners that provide insights that enable data and science driven decision making.What you'll doPartners with QC and other Quality functions to come up with superb illustrations and visualizations of data that can easily be comprehended and simplified for non-technical partner audiences.Advise the business on the potential of data, to provide new insights into the business's mission, and through sophisticated statistical analysis, data mining, and data visualization techniques, to build solutions that enable improved business performance.Identifies the data the business should be collecting, devises methods of instrumenting our system in order to extract this information and work with other data and analytics departments to develop the processes that transform raw data into impactful business insights.Stays abreast of the industry's trends, to provide forward-thinking recommendations to the business. Strives to build an in-depth understanding of the problem domain and available business data assets, especially those pertaining to critical initiatives and value-based programs.Generates meaningful insights applying sophisticated statistical techniques, for example, predictive statistical models, segmentation analysis, survey design, and data mining. Responsible for cleansing of large unstructured data and enabling analytical capability to query the data and address various business needs.Essential for the roleBachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Economics, or any other related quantitative field. Working experience of the equivalent is also acceptable for this position.Experience working in probability and statistics, time-series analysis, as well as experience in the use of machine learning methods, for example, linear regression, correlation, statistical significance, etc. Programming skills and experience working with tools such as SAS, R Programming, Open Source, and visualizations.Knowledge of the Python programming language, SAS Enterprise Miner and extensive knowledge of big data platforms such as Aster and Hadoop or equivalent.Demonstrated track record of working cross-functionally with team members with scientific, industrial, finance, and/or commercial expertise.Understanding of modern Information and Digital technologies. Some examples are: Cloud, Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Digital, AI, ML, Smart Devices, Agile Development, Data Lake, IoT, Low Code/No Code Rapid Application Development, Blockchain, etc.Ability to build a business case such as return on investment and breakeven analysis.Ability to identify areas for process and systems innovation and implement change that will improve the overall efficiency of the teamWhy AstraZeneca?At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial -finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, groundbreaking cutting edge methods and bringing unexpected teams together. Interested? Come and join our journey.So, what's next!Are you ready to bring new insights and fresh thinking to the table? Wonderful! We have one seat available and we hope it's yours.Next Steps - Apply today!To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience - it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a phenomenal fit, please share this posting with them.Find out more on Social Media:LinkedIn Operations Posted29-Mar-2021Closing DateAstraZeneca 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 authorization and employment eligibility verification requirements.

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