CRA offers a comprehensive benefits package, subject to eligibility requirements, which may include: medical, dental, and vision insurance; 401(k) retirement plan with employer match; life and disability insurance; paid time off (vacation, sick leave, holidays); parental leave; wellness programs and employee assistance resources; and commuter benefits. Duties: Conduct research, prepare reports, and formulate plans to address economic issues and inform solutions for designated projects and clients involved in complex labor and employment disputes. Conduct research in a team-oriented environment alongside some of the most respected academics, industry experts, and regulators in the world. Use techniques from statistics, machine learning and deep learning to conduct fair lending analyses of client models and tools, such as evaluating whether models have disparate effects on different demographic groups and how those effects vary among alternative model formulations. Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R) that clean, coordinate and analyze large volumes of data. Supervise, train, and mentor junior analysts. Assist in the development and presentation of client deliverables, including expert reports and white papers, to explain analytical decisions and comply with clients model risk management and model validation requirements. Act as a primary point of contact for attorneys and other industry or government clients on a variety of practice-relevant issues. Ensure the integrity and accuracy of analyses and opinions. Participate in practice-building activities (training, recruiting, publication, and expertise sharing). Requirements: Employer will accept a Ph.D. (or foreign equivalent degree) in Economics, Applied Economics, Statistics, Mathematics, or a related field. Alternatively, employer will accept a Masters degree (or foreign equivalent degree) in Economics, Applied Economics, Statistics, Mathematics, or a related field plus three years (36 months) of experience in the job offered or a related occupation. Position requires demonstrated proficiency in: 1. Building models, performing regression analyses, and leveraging tools such as Python, R, Stata, SAS, SQL, Excel, and ArcGIS. 2. Applying economic models and econometric methods to large datasets to solve complex real-world business problems. 3. Preparing technical written work product and presenting econometric methods or economic models, including assessment of identification strategy, validity of causal claims, sample selection, model assumptions, external validity, or methodological limitations. May Telecommute 20%. Contact: Please Apply.: (email removed). Must reference job 21761.333.5.
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