Job Description
Shaping the Future of America’s Demographic Landscape
We are seeking a visionary 2026 Census Data Scientist to join our elite team in San Francisco. As we prepare for the pivotal 2026 Decennial Census, we are leveraging advanced AI and statistical methodologies to modernize how the United States counts its people. You will play a critical role in ensuring data accuracy, integrity, and accessibility for the next century.
In this role, you won't just process numbers; you will define the statistical framework that drives policy, funding, and infrastructure decisions nationwide. If you are passionate about big data, privacy preservation, and public service, this is your opportunity to lead the charge.
Responsibilities
- Lead Statistical Modeling: Design and implement advanced statistical models and machine learning algorithms to predict population changes and improve enumeration accuracy for the 2026 Census.
- Data Integrity & Privacy: Ensure rigorous data validation protocols are met, maintaining the highest standards of data privacy and security in compliance with federal regulations.
- Legacy Modernization: Collaborate with engineering teams to transition legacy data systems into cloud-native, scalable architectures for real-time analytics.
- Stakeholder Communication: Translate complex statistical findings into actionable insights for policymakers, government officials, and the public through clear, compelling presentations.
- Methodology Development: Innovate new survey methodologies and sampling techniques to reduce costs and increase response rates for the upcoming decennial cycle.
Qualifications
- Education: Master’s or PhD degree in Statistics, Mathematics, Data Science, or a related quantitative field.
- Experience: Minimum of 5 years of professional experience in statistical analysis, data mining, or census-related data projects.
- Technical Skills: Proficiency in programming languages such as Python and R, with deep expertise in SQL databases and data visualization tools (e.g., Tableau, D3.js).
- Methodology: Strong understanding of survey methodology, sampling theory, and probability models.
- Soft Skills: Exceptional problem-solving abilities and the capacity to lead cross-functional teams in a fast-paced, mission-driven environment.