Data Scientist Assistant

American Institutes for Research • Chicago, IL

19h • $37 - $49 • Remote

About The Position

AIR’s Technology Office is seeking a Data Science Assistant to join a forward-thinking, innovative team of data scientists and software engineers. The team partners with clients to deliver data-driven solutions across web, mobile, analytics, and data management platforms, supporting data collection, communication, learning, and user experience initiatives. Data scientists at AIR apply a blend of technical expertise and theoretical knowledge to support cutting-edge research design, implementation, and capacity-building efforts. AIR is committed to supporting career growth through interdisciplinary collaboration, training opportunities, and a strong community of practice. Team members contribute to meaningful projects across a range of domains, including education, public health, workforce development, science and innovation policy, criminal justice, and housing. Our work balances modern agile development practices with rigorous research design, remaining outcomes-focused and aligned with client missions and goals. This position sits within AIR’s Data Science and Advanced Analytics (DSAA) group, which leverages advanced analytical methods to address complex research and public policy questions and to support evidence-based decision-making on critical social challenges. Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations . This does not include U.S. territories. Occasional travel will be required for meetings, training sessions, and conferences. About AIR: Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world. We generate evidence and appl y data-driven solutions that expand opportunities and improve lives for all.

Requirements

• Bachelor’s degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science).
• Python programming proficiency is required.
• Solution-oriented mindset with the ability to apply creative problem-solving techniques.
• Excellent communicator able to engage effectively across all organizational levels—including in virtual environments—and translate complex technical concepts into clear, plain language.
• Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goals in a virtual environment.
• Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities.
• Proficiency in database technologies such as MySQL, MS SQL Server, or Elasticsearch.
• Understanding of generative AI tools and their practical applications.

Nice To Haves

• Experience with Python web frameworks (e.g., Django, Flask) is preferred, but not required.
• Knowledge of statistical software like R, SAS, or STATA is preferred, but not required.
• Familiarity with any of the following is beneficial: GitHub workflows (e.g., pull requests, branch protection rules), GitHub Actions for CI/CD pipelines, and automated pre-commit hooks.
• Code formatting and linting tools (e.g., Ruff, Black).
• Interest in exploring and developing innovative tools for data-driven applications.

Responsibilities

• Assist in designing and building cloud applications and data pipelines using Platform-as-a-Service (PaaS) and open-source tools, while adhering to coding best practices for quality and consistency.
• Develop data visualizations, dashboards, and reports using open-source or Business Intelligence (BI) tools to support insights and decision-making.
• Collect, validate, and analyze data through standard programming languages and statistical techniques, including modeling, simulation, and forecasting with common software packages.
• Develop and deploy advanced artificial intelligence solutions, including natural language processing, computer vision, automatic speech recognition, and generative AI.
• Ensure data accuracy and integrity for assigned projects, while contributing to moderately complex tasks under indirect supervision.
• Collaborate with stakeholders to communicate project needs, leverage external resources, and organize deliverables effectively.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees