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Work closely with our research team to synthesize qualitative and quantitative data and make value-driven design decisions which then translate into clear, simple UIs. Major Fortune 500 company in financial services is looking for a Senior UX Designer with recent experience in financial services and/or fintech and 5+ years of experience in the financial services industry and/or fintech overall.
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The AJOS I use supervisory, program development, quantitative analysis, and other research skills in accomplishing all the goals of FIA/Job Center and its components (Application, Financial Planning, Employment Planning, Undercare, etc.
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Motion’s founders have a deep background in quantitative finance and strongly believe in the value of data infrastructure as a competitive advantage. We are hiring a senior data scientist, Motion's first data hire, who can conduct deep-dive research and inform key data infrastructure decisions to help Motion scale the next 2 orders of magnitudes.
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You will partner with key stakeholders and colleagues in Clinical Pharmacology, Quantitative Systems Pharmacology, Statistics, Translational Modeling and Simulation, and other Research and Development lines to accelerate breakthrough cancer medicines that bring new hope to patients everywhere.
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In addition to Quantitative Psychology, the School of Psychology includes programs in Cognition and Brain Science, Cognitive Aging, Engineering Psychology, and Industrial/Organizational Psychology.
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The types of data to be collected and processed are qualitative and quantitative financial and operational data, and will include: Financial and KPI data from scopes of work (project budgets, hours, fees, assets, expenses) Rate cards from Agencies and Finance teams Product and brand lists from Clients and Agencies Process summaries from Agencies Performance review data from Agencies Market research reports or publications.
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Ability to conduct research and perform basic quantitative quality assurance reviews. The Department is organized into five Divisions: Forestry Division, Livestock and Poultry Division, Natural Resources Division, Plant Industries Division, and Shared Services Division.
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The position is a part of a multi-year, multi-departmental initiative to establish an interdisciplinary research effort and graduate training program in the area of Quantitative Biosciences, emphasizing experimentation, computational and theoretical approaches to the study of living systems, on scales from molecules to entire organisms.
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This is not a position solely in quantitative methodology; we instead seek a scholar who would be comfortable teaching courses in quantitative research methods and who applies methods of quantitative political science to applied questions in their area of expertise.
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Degree in Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field. Work independently on all phases of an analytics project including meeting with stakeholders, formulation, research, development, implementation, testing and maintenance.
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MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering.
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Master’s or PhD in epidemiology, biostatistics, quantitative analysis, health informatics, economics, or equivalent quantitative field. 5+ years’ experience performing biostatistical, epidemiological, or HEOR research on observational healthcare data.
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M.S. or Ph. D. in Machine Learning, Operations Research, Optimization, Computer Science, or other quantitative fields or related work experience. You will be working closely with your cross-functional teammates and stakeholders as well as other marketplace teams to improve algorithms of matching rideshare supply and demand in real time, develop product offerings to improve Lyft Riders’ and Drivers’ experiences in getting rides.
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This person supports internal and external partners through the development of quantitative research and evaluation methodologies, data visualization, predictive modeling, and the application of appropriate advanced statistical methods.
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Degree in an Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or related field of technical rigor. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings.
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