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Mason Alert:

George Mason University in-person classes are cancelled and administrative offices are closed Monday Jan 26, due to inclement weather. For more information about campus operations go here: https://www.gmu.edu/campus-status.

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George Mason University
Job Opportunity

Data & AI Analytics Intern at American Chemical Society

Full Job Details

Employer: American Chemical Society

Expires: 02/09/2026

Department Summary:The Data Engineering team builds a unified, scalable, and intelligent data ecosystem that empowers decision-making and drives business value across the Pubs enterprise. Our work spans analytics engineering, data pipeline development, and data enablement—including governance, modeling, and AI-driven business intelligence. By integrating modern tools like Snowflake and advanced AI capabilities, we accelerate innovation and deliver trusted insights for stakeholders. Position Summary:This position will be a forward-thinking Data & AI Analytics Intern to join our Data Engineering team, working at the intersection of AI-driven business intelligence, Snowflake-based data solutions, and modern analytics engineering. This role offers hands-on experience with cutting-edge AI features, scalable data platforms, and real-world business problems. The candidate should be passionate about data, analytics, and emerging AI technologies. Key Responsibilities:Prototype AI-powered analytics use cases, including natural language querying, Cortex Agents, and multimodal dataAssist in designing and optimizing data pipelines using Snowflake, Talend, and SQL to support analytics workflows.Integrate AI/ML models into BI dashboards and workflows to enhance predictive analytics and decision-making.Collaborate with data engineers, analysts, and business stakeholders to deliver actionable insights via tools like Qlik, Tableau, or Looker.Document findings, best practices, and processes for deploying Snowflake Intelligence and AI-enhanced analytics across departments.Support training and enablement efforts for non-technical users to adopt AI-powered tools.Analyze performance, accuracy, and user experience of AI features and suggest improvements. Key Qualifications:Pursuing a degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.Familiarity with SQL, Snowflake, and cloud data platExposure to AI/ML concepts, especially generative AI and natural language processing.Experience with BI tools (e.g., Qlik, Tableau) and data visualizationUnderstanding of basic machine learning tools (e.g., Python, with Langflow & Lang Chain).Strong analytical thinking, problem-solving, and communication skills. Education Requirements:The ideal candidate will be rising junior or rising senior pursuing a major in Data Science, Computer Science, Business Analytics, Information Systems, or a related field. Required Qualifications:• Currently pursuing a major in Data Science, Computer Science, Business Analytics, Information Systems, or a related field Pay Transparency: This role is based in our Washington, D.C. office. The following are the intended hourly rates for this part time/nonexempt role: Rising Junior-$24.00; Rising Senior-$25.00; Current Grad/PhD Student- $29.00. #LI-DNI Any actual offer of employment, reflecting the total compensation package and benefits, will be made in the sole discretion of ACS. ACS reserves the right to amend or modify its employment benefits and compensation structure at any time. *This position will be primarily based in the Washington D.C. (or applicable) office. ACS employees work a hybrid work schedule, consisting of working onsite, two days per week. Schedule flexibility may be required for this role to support in-office activities. While always welcome to work in the office, employees may work the other three days of the week from a location of their choice.   Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

* The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.