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    Data scientist scientist - Stanford, CA, United States - Stanford University

    Stanford University
    Stanford University Stanford, CA, United States

    3 weeks ago

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    Description
    Data Scientist (GeoMatch) #128269;School of Humanities and Sciences, Stanford, California, United States#128193;101554 Requisition # Data Scientist (GeoMatch)

    Stanford University is seeking to hire a full-time Data Scientist to join the Immigration Policy Lab (IPL) to work on its GeoMatch research portfolio.

    This global research initiative combines high-quality academic research with elements of a social impact tech start-up: codebase development, product design, strategic partnerships, and advances in artificial intelligence.

    About the lab

    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.

    Within the lab, GeoMatch functions with the adaptability of a start-up that develops user-focused software products, while maintaining a commitment to generating rigorous evidence of their impact.

    To learn more about GeoMatch and IPL, visit our website:

    We are looking for a full-time Data Scientist to provide technical and analytical expertise to the GeoMatch program.

    This position will report to the lead Data Scientist of GeoMatch and work closely with the GeoMatch team of staff and faculty.

    The Data Scientist will co-develop and implement machine learning models and algorithms used by our partners as part of their resettlement processes.

    They will play a key role in adapting the algorithm to new resettlement processes and research projects.

    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, and explore new and creative data collection and analytical methods.

    The Data Scientist will also have the opportunity to co-author papers that report on the results of the implementations of the algorithm-based matching tool, 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.

    Remote worker agreements may be considered for candidates in the U.This is a 100% FTE, one-year, fixed-term position with the possibility of renewal depending on funding and performance.

    Work closely with other GeoMatch team members (Data Scientist, Software Engineer, and Faculty) to adapt the code used for data processing, machine learning, and optimization to specific contexts based on the needs of external partners
    Maintain and optimize machine learning models and algorithms, while exploring and evaluating the performance of alternative ML methods and models as needed
    Lead code organization, harmonization, and centralization efforts to ensure the algorithmic matching tool can be used efficiently across multiple contexts and projects
    Conduct statistical analyses to measure the projected or actual performance of the algorithmic matching tool in various country contexts
    Clean, merge, and process raw data from government and non-profit partners
    Create complex tables and figures for internal analyses and external presentations

    • 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.
    Substantial experience with MS Office and analytical programs.
    Excellent writing and analytical skills.
    Experience in a quantitative discipline such as economics, finance, statistics, political science, computer science, operations, or engineering.
    Experience implementing machine learning methods and mathematical optimization.

    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 travel for occasional domestic and international travel (2-4 weeks/year)

    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 operations research.

    Experience with Python, SQL/database management systems
    Experience creating data visualizations for internal project stakeholders and broad public audiences
    Experience developing, maintaining, and testing data architecture and pipelines
    Experience working on an end-user production software application
    Knowledge of immigration policy and related academic literature
    Experience in social science research, causal inference methods, or applying statistical tools to address policy problems
    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, your experience doing data science work in collaborative environments, and your motivation for joining a team using data science for social impact.


    Optional:
    We also welcome attachments showcasing work samples and portfolios of past projects.
    This remote role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures .

    The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees.

    Imagine a world without search engines or social platforms. Supporting this mission is our diverse and dedicated 17,000 staff. 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.
    We provide superb retirement plans, generous time-off, and family care resources
    Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities.

    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.

    Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities.

    requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at .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.


    Schedule:
    Full-time

    Fixed-Term
    Hybrid Eligible, Remote Eligible
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