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: Proficiency with R, Python, or Stata. Work with large and complex datasets. Apply machine learning algorithms in operational environments. Proficient with GitHub. Worki on field experiments / randomized
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). Experience in coding and statistical programs (R, Python, Java, SPSS, STATA, etc.). Interviewing and conducting experimental sessions in behavioral research. Preferred Competencies Excellent professional and
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. Preferred Competencies Strong knowledge of one of more of the following areas of Computer Science: Introductory programming in Python, Systems programming in C, Computer Systems (Networks, Operating Systems
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standards. Hands-on experience with data science tools and technologies, such as Python, R, SQL, Hadoop, Spark, TensorFlow, etc. Strong experience with data governance, data quality, and regulatory compliance
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or similar software). Technical Skills or Knowledge: Proficiency in data manipulation using R, STATA, or Python. Knowledge of statistical methods, research design, causal inference, and econometrics, and their
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. Programming skills using Python (preferred), Golang/Javascript (a plus), or other languages like C/C++, Java, or C# with advanced skills in at least one of these languages. Knowledge of web applications, REST
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, Stata, Python, or SAS. Experience with relational databases a plus. Familiarity with randomized controlled trials and other approaches to estimating causal effects. Content expertise in college and career
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, Python, or SAS. Familiarity with Git strongly preferred. Experience working with GIS and UNIX servers strongly preferred. Preferred Competencies Work independently in a fast-paced environment. Strong time
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Python, generate visualizations using Tableau, and adhere to all administrative policies and procedures. Prior to delivery of data, the incumbent will assist with data quality checks, making sure that
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theoretical understanding and practical experience with statistical computing using Python or R (the ability to work in both languages). Demonstrated proficiency with MS Office (Word, Excel, PowerPoint, and