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Senior Data Scientist
Tulsa, OK, United States
Job Description
AWE is looking for a Senior Data Scientist (Statistics) \n\nWe have a vacancy for a Senior Data Scientist with specialisms in statistics to join a centralised Data Science and Analytics capability within Warhead Engineering. The Team is expanding and provides Data Science and Analytics support across a range of business areas.\n\nData scientists will work across Science, Engineering and Business Operations to apply mathematical, problem solving and programming skills to manage small and big data sets to extract valuable insights. Identify trends and deploying statistical and or machine learning models.\n\nLocation - Reading Area\n\nSalary: £47,690 - £68,000 (dependent on your suitability and level of experience)\n\nClosing date: 27th June 2024\n\nWho Are We Looking For?\n\nSomeone with an appropriate Degree in statistics/ mathematics or a relevant STEM subject, as well as experience working in industry as a data scientist/statistician.\n\nWhat you would be responsible for:\n\nDevelop statistical modelling\nQuantifying uncertainty in experimental results and sparse datasets\nDefining and quantifying the confidence in outputs & analyses\nDiscovering, interpreting and then communicating trends in large sets of data\nHelping teams to build accurate computational models using multiple levels of fidelity\nExpertise in R, Python or MATLAB\nExcellent interpersonal skills, with an ability to interact with staff at all levels and specialisms \n\nAlthough not to be considered a full checklist, we would like you to be able to demonstrate experience of some of the following:\n\nInterpreting customer requirements into analysis deliverables\nActing as the technical lead for junior team members on specific work packages\nKnowledge of techniques such as regression analysis, design of experiments, time series modelling, Bayesian statistics, extreme value analysis, Monte Carlo simulations and set up and analysis of computational experiments\nKnowledge of machine learning including deep learning techniques\nBe a member of a relevant Professional Institution and be working towards Charted status \n\nWhat Will You Get From Us?:\n\nAs part of our People Promise, AWE (one of the best 25 big companies to work for in the UK) has a range of benefits to suit you.
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