The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 24 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university’s largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day.

Department/Program Description: The Immigration Policy Lab (IPL) at Stanford University evaluates policies and designs evidence-driven innovations that help improve the lives of refugees, immigrants, and the communities in which they live. We seek to improve the lives of these newcomers and strengthen the communities receiving them. We work closely with community-based organizations and government agencies to design new programs and tools with the potential to affect the lives of millions of migrants. Our talented team of faculty, staff, postdocs, and graduate and undergraduate students contribute to an innovative research model that combines the rigor of an academic unit with the efficiency and innovation of a civic-tech lab. To learn more about IPL, visit our website: https://immigrationlab.org/

Position Summary: Stanford University is seeking to hire a full-time Data Scientist to join the Immigration Policy Lab (IPL) to work on its Migration and Development and U.S. Immigration research portfolios. In partnership with governments, the projects in these portfolios analyze administrative data to understand mobility patterns and the impact of migration governance, and study and implement development interventions to assist migrants in the Global South (such as refugee labor market integration and migrant reintegration), along with projects on immigrant health, naturalization, and integration of different immigrant groups in the U.S.

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 technical and analytical expertise to our portfolios. This position will report to the Executive Director and work closely with IPL staff and faculty across multiple projects and portfolio. The Data Scientist will help design, implement, and evaluate policies and programs to improve the integration and well-being of migrants around the world. The Data Scientist will also be responsible for creating, managing, and updating datasets and codebases assuring that the data quality, processing, and analysis meet rigorous production standards. In collaboration with other team members, the Data Scientist will contribute to research designs, conduct/interpret analyses, identify new data, and explore new and creative data collection and analytical methods.

We are looking for candidates who have the ability and experience to meet the technical requirements of the position and who are enthusiastic about using their skills to conduct analyses with real-world impacts. The Data Scientist will also have the opportunity to co-author papers that report on the results of these studies, as well as work with an array of affiliated faculty from top institutions.

IPL is a hybrid (on-campus and remote), highly-collaborative team work environment.

This is a 100% FTE, one-year, fixed-term position with the possibility of renewal depending on funding and performance. Candidates who are available to work in-person are highly preferred. Remote worker agreements may be considered for candidates in the U.S. with the appropriate background and experience.

The interview process may include a (live) data science task.

If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences.

CORE DUTIES:

·       Act as the data and statistical leader for particular tasks and projects

·       Identify data sources on migration and develop strategies for utilizing different types of data to answer policy-relevant research questions

·       Prioritize and extract data from a variety of sources such as survey results, notes, administrative data, and other big data sources, determine and maintain its accuracy and completeness.

·       Clean, merge, and process raw data from government and non-profit partners

·       Determine additional data collection and reporting requirements

·       Design and customize analytical reports based upon data in the database

·       Write and maintain codebooks for country-specific datasets and contexts

·       Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation

·       Serve as a resource for non-routine inquires such as requests for statistics or surveys

·       Provide documentation based on audit and reporting criteria to investigators and research staff

·       Co-author academic articles and policy briefs

·       Respond to descriptive and exploratory questions from faculty or partners

* Other duties may also be assigned.

EDUCATION AND EXPERIENCE:

·       Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.  An advanced degree (Master’s or PhD) is highly desired.

KNOWLEDGE, SKILLS, AND ABILITIES:

·       Substantial experience with MS Office and analytical programs.

·       Excellent writing and analytical skills.

·       Ability to prioritize workload

Additional highly desired knowledge, skills and abilities include:

• Experience in a quantitative discipline such as economics, finance, statistics, political science, computer science, operations, or engineering.
• Experience working with a large and complex code base.
• Mastery of R.
• Experience implementing machine learning methods and mathematical optimization.
• Knowledge of causal inference methods.
• Strong communication skills with both technical and non-technical partner organizations.
• 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.
• Demonstrated ability to identify and implement technical solutions and processes in contexts with changing and sometimes conflicting requirements (for example, policy, research, and programmatic requirements)
• Experience using version control tools, such as git/GitHub, to collaborate on projects.
• Ability to thrive in a lean, start-up environment: able to manage ambiguity and navigate uncertainty and competing priorities while contributing to a supportive, focused and productive team environment.
• Strong verbal and written communication skills with the ability to clearly convey information to both technical and non-technical partner organizations.
• Ability to travel for occasional domestic and international travel (2-4 weeks/year)

Additional preferred qualifications include:

• PhD or advanced degree in a relevant area (e.g., statistics, economics, operations research, computer science) or 5+ years of relevant work experience in data analysis, machine learning implementation, and research.
• Experience with Python, SQL/database management systems
• Experience using geo-located data, nightlight data, and/or satellite data for research purposes
• Experience creating data visualizations for internal project stakeholders and broad public audiences
• Experience developing, maintaining, and testing data architecture and pipelines
• Experience working with survey data, administrative data, and US Census data.
• Knowledge of immigration policy and related academic literature
• Experience in social science research, causal inference methods, or applying statistical tools to address policy problems
• 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.

Stanford Work Location:

The expected pay range for this position is $86,000 – $126,000 per annum.

Remote Work Location:

This remote role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $72,000 to $103,000 per annum.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

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 accommodations to applicants and employees with disabilities. Applicants

requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.

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.