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Fluency in SAS, STATA, SQL, Tableau, or other statistical programming software and MS Office. Minimum of two years of hands-on SAS, STATA, SQL or other statistical programming work experience or demonstrated equivalent combination of education and experience.
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Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica); Antitrust and Competition Economics (Boston, Chicago, New York, Oakland, Washington DC.
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Ability to engage and converse at all levels of knowledge: both with the economist community at the peer level and with colleagues and clients who do not have economics training or deep knowledge base.
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This involves using statistical methods, predictive modeling, and data visualization techniques. Experience in predictive modeling and statistical analysis. BA/MBA in Data Science, Statistics, Economics, Business, or related field.
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Proficiency with statistical tools (i.e., STATA, Visual Basic, or SAS) and applying them to complex dispute matters. Perform economic consulting services as it relates to labor economics (wage & hour disputes), and commercial litigation matters supporting expert witness opinions in different court venues.
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Basic understanding of statistical methods; Knowledge of statistical programming (SAS or STATA) Uses Stata and other statistical programs as necessary (e.g. SAS, R) to extract, clean, manage, and analyze data in support of the research project.
$28.31 - $33.72 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Minimum qualifications:Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a related field, or equivalent practical experience.
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Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred. Statistical knowledge and extreme proficiency in SQL. Comfortable with R, Python and Tableau.
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Financial planning, analysis, and statistical and economic analysis. Bachelor's Degree in Finance, Accounting, Economics, Business Administration, Public Administration or a related field.
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NOTE: As indicated in A above credit toward meeting statistical course requirements will be granted for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
$63,369 - $191,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum Qualifications Bachelor's degree in a quantitative field - computer science, engineering, statistics, operations research, economics or related field7+ years of experience in analytics or data scienceStrong programming skills in Python, SQL, with experience in Snowflake or similar, and using data science libraries and frameworks such as Pandas, Scikit-Learn, & PyTorch.
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Preferred Qualifications: Advanced degree in applied mathematics, statistics, actuarial science, economics or related field. What you’ll do: Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
$129,000 - $228,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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BASIC REQUIREMENT: A Certificate as a Certified Public Accountant (CPA) or a bachelor's or higher degree in accounting that included at least 30 semester hours in accounting or 24 semester hours in accounting and an additional 6 semester hours in related subjects such as business law, economics, statistical/quantitative methods, computerized accounting or financial systems, financial management, or finance.
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Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries.
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You have strong academic credentials with advanced degree in mathematics, science, finance, economics or econometrics; PhD degree in economics or finance would be a plus. You have experience programming in a high-performance language for technical computing ( Python and/or R and/or MATLAB), SQL, and other databases and systems as they apply to optimization, simulation, scenario, and statistical analysis.
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economics statistical jobs in Los Angeles, CA
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