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Qualifications Experience: Previous experience conducting statistical analysis strongly preferred. Preferred Competencies Proficiency in Excel, Stata and R. Work independently and efficiently. Strong knowledge
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members in SAS and provide technical guidance and oversight for data analysts working in SAS, SQL, and R. Contribute to the design and delivery of professional learning and communications associated with
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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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: 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 supervising research assistants and students. We’re particularly interested in candidates with technical skills to support experiments including expert skills in R, Python, and use of online
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: Knowledge of machine learning techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant
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date. Experience: A minimum one year of relevant research experience. Technical Skills or Knowledge: Demonstrated proficiency in R, STATA, Python, or a related software. Preferred Competencies
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) and HTML/CSS. Proficiency in SQL/NoSQL databases, Python, and R (desirable). Preferred Competencies Strong organizational and communication skills. Ability to work independently and collaboratively
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research experience. Technical Skills or Knowledge: Proficiency in Python, R, or Julia, with expertise in relevant ML/AI libraries, such as TensorFlow andTorch, etc. Preferred Competencies Outstanding verbal
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experience. Technical Skills or Knowledge: Proficiency in R. Preferred Competencies Outstanding verbal and written skills Organizational and attention to detail skills. Work independently with little