Nudge4 Solutions Lab Senior Data Scientist
Working Title: Nudge4 Solutions Lab Senior Data Scientist
Position Type: University Managerial and Professional Staff
Department: Curry School of Education
Posting Date: 06-06-2018
The Nudge4 Solutions Lab seeks an ambitious, enthusiastic, and organized Senior Data Scientist (SDS). Nudge4 partners with public agencies and organizations to design and test scalable strategies to drive educational and economic opportunity. The SDS will work on large-scale projects that harness advance data analytic strategies to identify people most in need of additional support and to provide them with highly tailored information about educational and workforce opportunities that position them for economic success. The SDS will be primarily responsible for executing data analyses, including both traditional econometric and more advanced machine learning methods, for a set of high-priority projects with one of our large state partners. This position is ideal for candidates with advanced research skills who are passionate about putting data to work to help people achieve greater economic independence and well-being.
A Master's degree in economics, public Policy, data science, statistics or a related filed with advance coursework in research methods is required, a terminal degree is preferred. At least two years' experience conducting rigorous quantitative research, either in a role as a graduate student or professional researcher is essential. At least one year experience working in R or Python, or willingness to learn before beginning position is required. Strong coursework in advanced econometrics, both theoretical and applied and expert-level Stata skills are essential. Theoretical and applied knowledge of machine learning algorithms, both supervised and unsupervised, or willingness to learn before beginning the position is required. A proven track record of working as part of a team, either in academic or business setting and excellent written and oral communication skills are imperative. The ability to take initiative, work independently, and effectively manage one's own time is essential. The incumbent must be highly organized, be able to work across multiple projects at the same time, and have ability to communicate diplomatically and effectively with people from all backgrounds and viewpoints.
Preference will be given to applicants with at least one year of experience building and testing machine learning algorithms. At least one year of experience using other advanced data science methods, including web scraping, PDF scraping, data visualization, or natural language processing is also preferred. Experience implementing and evaluating RCTs with partners in the public or non-profit sector, and experience researching or working with higher-education data is highly desirable. Experience collaborating with other researchers using GitHub is preferred. Knowledge of key tenets of applied behavioral economics, and experience incorporating into behaviorally informed intervention content is highly desirable.
To apply, visit http://jobs.virginia.edu and search on Posting Number 0623444. Complete a Candidate Profile online and attach a cover letter, resume, and contact information for 3 references.
For questions about the position, please contact Rhiannon O'Coin, Academic Recruiter at [email protected]
The Curry School of Education and the University of Virginia are Equal Opportunity/Affirmative Action employers. We seek to build a culturally diverse intellectual environment and welcome applications from women, minorities, veterans, and persons with disabilities.
Required Knowledge, Skills and Abilities:
Strong coursework in advanced econometrics, both theoretical and applied; expert-level Stata skills; Theoretical and applied knowledge of machine learning algorithms, both supervised and unsupervised, or willingness to learn before beginning the position (UVA will select specific courses to complete); proven track record of working as part of a team, either in academic or business setting; excellent written and oral communication skills; ability to take initiative, work independently, and effectively manage one's own time; highly organized and able to work across multiple projects at the same time; and ability to communicate diplomatically and effectively with people from all backgrounds and viewpoints.
E-mail a Friend: jobs.virginia.edu/applicants/Central?quickFind=84791