Interested in contributing to our mission of advancing immigration policy worldwide? Read on for details about our new position.
The Immigration Policy Lab (IPL) is seeking to hire a full-time Data Scientist to work on its GeoMatch research portfolio. In partnership with governments, these projects study and implement an algorithm-based matching tool to connect refugees and immigrants to locations within a host country where they are most likely to thrive. This global research initiative combines high-quality academic research with elements of a social impact tech startup: product design, strategic partnerships, and advances in artificial intelligence.
To meet our team and get a sense of our culture and values, watch this video:
About the Lab
The Immigration Policy Lab (IPL) at Stanford University evaluates and designs policies surrounding the integration of immigrants and refugees worldwide. By producing new evidence and translating it into creative solutions, we seek to improve the lives of these newcomers and strengthen the communities receiving them. We engage with community-based organizations as well as local, state, national, and international governmental agencies to test the effectiveness of current policies. We also design new policies, programs, and tools that ultimately affect millions of migrants, as well as the economic and social prosperity of the countries in which they live. Our talented team of faculty, staff, postdocs, and graduate and undergraduate students is creating an innovative research model that combines the quality and rigor of an academic unit with the efficiency and innovation of a civic-tech lab.
About the Position
We are looking for a full-time Data Scientist to provide analytical expertise to the GeoMatch research program. Reporting to the Director of GeoMatch and working closely with the Faculty Co-Directors, the Data Scientist will be responsible for creating, managing, and updating datasets, assuring data and analysis meet rigorous replication standards, and exploring new and creative data collection and analytical methods. The Data Scientist will work closely with faculty and staff to develop research designs, conduct/interpret analyses, implement machine learning models and algorithms, as well as oversee the work of postdocs and graduate students. We are looking for candidates who have the ability, experience, and enthusiasm to be the data and statistical lead for the GeoMatch research program focused on experimental, quasi-experimental, and machine learning methods. To learn more about GeoMatch and IPL, visit our website.
Experience working in a social science research setting and training in statistics, data science, machine learning, and causal inference is essential. Demonstrated experience designing and implementing experimental and quasi-experimental research designs is also highly valuable. A PhD or advanced degree in a relevant area (e.g., statistics, economics) is highly desired. Understanding and experience collecting, cleaning, and analyzing various forms of data (survey, administrative, Census) is important.
IPL is currently full-time remote due to the COVID-19 pandemic and plans to return to hybrid (on-campus and remote) working arrangements in the future, but we are open to full-time remote candidates based anywhere in the US for this role (must be available during PST business hours).
This is a 100% FTE, one-year, fixed-term position with the possibility of renewal.
The interview process may include a research design and data science task.
- Lead organization-wide data initiatives.
- Prioritize and extract data from a variety of sources such as survey results, administrative data, and Census data, and maintain its accuracy and completeness.
- Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
- Maintain and update machine learning models and algorithms.
- Serve as a resource for non-routine inquiries such as requests for raw data, batch files, or pre-analysis plans.
- Communicate with government officials, grant agencies and industry representatives.
- Co-author academic articles and policy briefs.
* – Other duties may also be assigned
To be successful in this position you will bring:
- Bachelor’s degree and three years of relevant experience or combination of education and relevant experience. An advanced degree (Master’s or PhD) is highly desired.
- Experience in a quantitative discipline such as economics, finance, statistics, political science, computer science, or engineering.
- Excellent writing and analytical skills.
- Mastery of R.
- Knowledge of causal inference methods.
- Experience implementing machine learning methods.
- Commitment to and alignment with GeoMatch research goals and IPL’s mission.
- Demonstrated ability to manage work across many different projects simultaneously, learn skills quickly and efficiently, work well within collaborative and cross-functional team settings, and be highly accountable to deadlines and partner needs.
- Strong communication skills with both technical and non-technical partner organizations.
- PhD or advanced degree in Economics, Statistics, or a related field.
- Knowledge of mathematical optimization.
- Experience with Julia, Python, SAS, and/or Stata.
- Experience working with a large and complex code base.
- Experience working with survey data, administrative data, and US Census data.
- Knowledge of immigration policy and related academic literature.
- Relevant social science research knowledge.
- Experience creating data visualizations for academic publications as well as broad public audiences.
- Demonstrated experience managing a wide range of projects and collaborating across various groups and people.
We recognize that the job description may not exactly match your qualifications. If you think you may be a good fit, we encourage you to apply.
How to Apply
We invite you to apply for this position by going to this page and clicking on the “Apply for Job” button. To be considered, please submit a cover letter and resume along with your online application. Your one-page cover letter should briefly describe your background and interest in IPL and the GeoMatch research program, examples of your data science experience working in highly collaborative environments, and your motivation for working in data science for social impact. Optional: We also welcome attachments showcasing work samples and portfolios of past projects.
Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
- Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
- A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
- A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
- Discovery and fun. Stroll through historic sculptures, trails, and museums.
- Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.