Path 1 Kawader: Research Assistant – Data Analytics (Economics)

Job Description

The Data Analytics Research Assistant – Economics will be supervised by Professor Samreen Malik and will be part of a team that provides Malik’s team of researchers and faculty with Data Analytics, Data visualization, Data Management, coding &amp; development and support of research design.<br><br>As part of Malik’s team, there will be hands on experience to learn research methods, experimental designs and tools specifically applied to research in social science. Working with Dr. Malik and her team to advance their research work by providing Data analytics and research analysis support. Assist researchers with Data management including big data, data mining and database support and development. Support and advise researchers on Data visualization. Working with faculty and researchers to support researchers programming in STATA, and use AI including Machine Learning. Support researchers with coding and algorithm development. Conduct training, engagement with students for senior thesis (graduate and undergraduate level).<br><br><strong>Breadth of Responsibility <br></strong><ul><li>Lead day-to-day research support in the areas of Data Analytics, Data visualization and Data management.</li><li>Support researchers and faculty with their coding and algorithm development.</li><li>Support Dr. Malik and her researcher team with their use of Machine Learning and AI.</li><li>Provide student mentorship, consultancy and training on areas related to Data analytics, visualization and management.</li><li>Collaborate with Dr. Malik’s team on large analytical and data intensive projects.</li><li>Make technical decisions consistent with NYUAD compliance and architectural requirements and to manage customer issues, respond to support queries related to usage/utilization, application installation, and configuration, tuning and running issues</li><li>Provide technical leadership and support Research projects. Ability to clearly communicate technical concepts to non-technical audience. Excellent organizational and communication skills.<br></li></ul>The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure<br><br><strong><u>Required Education<br><br></u></strong>Bachelor’s degree +2 years’ experience (or educational equivalent) in Computational Science, Statistics, computational social science or equivalent<br><br><strong><u>Preferred Education<br><br></u></strong>M.Sc. degree or higher + 3 years’ experience (or educational equivalent) in relevant discipline<br><br><strong><u>Required Work And Related Experience<br></u></strong><ul><li>Experience in understanding research requirements and translating those requirements into functional and dependable solutions,</li><li>Experience working with data science programming languages like STATA, Python, R</li><li>Experience data management and big data</li><li>Experience in data visualization</li><li>Experience in Machine Learning, and AI</li><li>Professional experience working on complex projects in research environments<br></li></ul><strong><u>Preferred Work And Related Experience<br></u></strong><ul><li>Experience in project management of application development projects</li><li>Experience in a higher education research institution, especially developing and/or supporting research<br></li></ul><strong><u>Required Competencies<br></u></strong><ul><li>Strong programming skills in relevant programming languages e.g. STATA, Python, R.</li><li>Knowledge of scientific analysis, statistical methods and computer related research design and statistical analysis.</li><li>Knowledge of visualizing research data and familiarity with data visualization tools.</li><li>Knowledge of data managing including data collection, organization and cleansing</li><li>Knowledge of standard statistical packages such as R, STATA etc.</li><li>Knowledge of big data and data mining tools</li><li>Ability to develop applications using Machine Learning and Artificial Intelligence.</li><li>Ability to clearly communicate technical concepts to non-technical audience.</li><li>Ability to keep up to date with technological advances.</li><li>Ability to work in a team-based environment and contribute positively to it.</li><li>Ability to work on own initiative and as part of a team.</li><li>Ability to work with individuals at all levels and diplomatically manages their expectations.</li><li>Creative problem-solving abilities and initiatives.</li><li>Strong organizational skills.</li><li>Strong presentation and report writing skills.</li><li>Excellent communication, interpersonal and analytical skills are essential.</li><li>Ability to manage conflicting priorities in an effective and professional manner<br></li></ul><strong><u>Preferred Competencies<br></u></strong><ul><li>Knowledge of one or more software source code control systems.</li><li>Knowledge of Windows system administration</li><li> Statement of interest in the position</li><li> Transcript of degree(s)</li><li> CV</li><li> Two letters of recommendation<br></li></ul>This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ’s please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html<br><br>For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu <em>(due to the high volume of emails received, please allow 5 working days for a response)<br><br></em><strong>Equal Employment Opportunity Statement<br><br></strong><strong>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr<br><br></strong><strong>NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.<br><br></strong><strong>Sustainability Statement <br><br></strong><strong>NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability</strong>