> Markdown version of [/jobs/ext/3068231-data-scientist](https://www.wearedevelopers.com/jobs/ext/3068231-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Georgetown University - **Location:** United States - **Experience:** Starter - **Salary:** $80,429.0 - $157,239.0 - **Contract:** Permanent contract - **Skills:** Web Interfaces, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Github, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Unstructured Data, Data Processing, Google Cloud, Large Language Models, Information Technology, Software Version Control, Data Pipelines - **Published:** September 25, 2026 - **Apply:** https://www.dice.com/job-detail/d426e313-8329-440f-b1eb-bf4e83ddcb60 ## About the Role * Bachelor's degree in computer science, data science, or a quantitative field (e.g. economics); * A minimum of 5 years of professional quantitative or statistical analysis experience (can include graduate coursework); * Proficiency with SQL and Python; * Experience working with code management platforms such as GitHub; * Familiarity working in cloud computing environments (e.g. Google Cloud Platform, AWS, Azure) * Ability to process and analyze datasets, and interpret them to make decisions; * Ability to work successfully in a highly collaborative team environment including people from nontechnical backgrounds; * Strong project management skills; * Clear written and verbal communication; * Motivated, enthusiastic, intellectually curious and self-driven * Alignment with CSET's mission, values and culture * Ability to work in the United States without employer sponsorship Preferred Additional Qualifications Our ideal applicant would have at least 1-2 of the following additional attributes: * Natural Language Processing (NLP) experience * Familiarity working in Google Cloud Platform or similar environments (e.g. AWS, Azure); * Experience incorporating ML or LLMs into data processing workflows * Experience working with bibliometric datasets (e.g. publications, patents, citations) * Experience working with multi-lingual data ## Description The Data Scientist will report to CSET's Director of Data Science and Research and have responsibility for: * Building and maintaining data pipelines and data processing techniques for large datasets using Airflow; * Designing, evaluating, and implementing solutions, including AI-enabled solutions and advanced modeling, to improve the quality and utility of datasets and enable new analytic capabilities; * Ingesting structured and unstructured datasets into Google Cloud Platform (Google Cloud Platform); * Documenting and communicating CSET methods and data resources to internal and external audiences; * Collaboratively developing research designs and identifying appropriate data and methods; * Interpreting results and drawing valid inferences from data to support CSET research and publications; * Communicating substantive findings from data for policy audiences, via accessible visualizations, written outputs, web interfaces, and presentations. * Monitoring trends and developments in AI, ML, biotechnology, and national security policy * Contributing to CSET's organizational development, including internal working groups, seminars, and discussions; and supporting and mentoring colleagues * Upholding CSET's mission, values and culture * Additional duties as assigned ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)