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Experience with quantitative research tools and libraries (e.g., pandas, NumPy, SciPy, TensorFlow) and data visualization techniques. Master's or Ph. D. degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
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Expertise in model deployment and tools for automating data science workflows. Perform ad hoc data analyses to answer urgent questions from front office leadership and other groups within baseball operations.
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Founded in 1981, Analysis Group is one of the largest international economics consulting firms, with more than 1,200 professionals across 14 offices, including more than 250 professionals who focus on Health Care. Analysis Group’s health care experts apply analytical expertise to health economics and outcomes research (HEOR), clinical research, market access and commercial strategy, health care policy, epidemiology and drug safety, data science, and biostatistics.
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Education Preferred A bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience.
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Collaborate with other team leads to set the vision for the organization’s Data Science capability. Experience as a leader and mentor on a data science team. 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
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Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Educational Requirements:Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
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We encourage applicants with a Ph. D. or equivalent to apply, who have strong quantitative and/or qualitative skills in any relevant discipline, including public policy, economics, demography, public health, political science, epidemiology, sociology, psychology, ethnic and/or cultural studies, gender and women's studies, LGBTQIA+ studies, criminal justice, education, statistics and/or data science.
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A master’s degree in engineering, physics, applied mathematics, or a physical science with six months or more experience in modeling low frequency electromagnetic applications based on numerical methods, such as the finite element method or similar.
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The Los Angeles Dodgers Quantitative Analysis team is responsible for researching and developing metrics and tools that enhance decision-making throughout Baseball Operations. Senior Analysts are expected to innovate on our core data products, identify and implement best practices in developing and deploying code, and provide data-backed opinions to coaches and front office decision-makers on decisions regarding on-field strategy, player development, and player evaluation.
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Bachelor’s degree or equivalent experience in statistics, engineering, applied math, physics, quantitative social sciences, computer science, or similar field. Strong data visualization capabilities.
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The University of Southern California (USC) and its Department of Quantitative and Computational Biology at the Dana and David Dornsife College of Letters, Arts and Sciences is seeking enthusiastic candidates for the position of Graduate Student Services Advisor I to support graduate students (sc.edu/qcb.
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Long-term archiving and public access to the NEOS image and extracted source data products will be done in collaboration with the NASA/IPAC Infrared Science Archive (IRSA). Contributing to general analysis and documentation of the NEO Surveyor and SPHEREx data products that will be served by IRSA. Basic Qualifications PhD in astronomy, planetary science or a related discipline and two years of post-PhD experience.
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Bachelor's Degree, preferably with quantitative focus or a technical subject such as engineering, environmental science, et cetera. Understanding of basic concepts in data base management such as Azure, SQL, et cetera is a plus.
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The EHS Director has responsibility to anticipate EHS issues, assure risk management processes are applied, coach capabilities into the regional teams, analyze incident data, and develop actionable solutions.
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applied quantitative data science jobs Company: Abbvie in Los Angeles, CA
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