Fast Facts

Join Children's Funding Project as a Senior Data Scientist Associate, where you'll utilize your data expertise to enhance fiscal mapping strategies benefiting children and youth services across the U.S.

Responsibilities: Design and maintain AI-driven data pipelines for budget document analysis; ensure data governance and quality across fiscal mapping products; collaborate with cross-functional teams to analyze and communicate fiscal data insights.

Skills: Proficiency in Python, SQL, with hands-on AI/ML experience; ability to translate technical data findings for non-technical stakeholders; strong attention to detail.

Qualifications: Bachelor's degree in a quantitative field or equivalent experience; interest in public policy and advocacy related to children and youth; familiarity with DEJB values is a plus.

Location: This is a fully remote position with some domestic travel required within the U.S.

Compensation: $65000 - $65000 / Annually

CHILDREN’S FUNDING PROJECT is a nonprofit social impact organization that helps communities, states, and Native Nations expand equitable opportunities for children and youth through strategic public financing. Through our hands-on technical assistance and collection of resources, we help advocates, policymakers, public agencies, Tribal Nations, and funders identify and align existing funding, generate new revenue, and implement strategies to administer funds in ways that maximize their impact. This growing organization is dynamic and seeks to meet the needs of the child and youth field and provide a healthy work environment.

About the Position: Children’s Funding Project is seeking a Senior Data Scientist Associate to join our Fiscal Data Infrastructure Team. You’ll build modern data pipelines to help make sense of messy public budget data by using your expertise with applying pre-trained AI models, LLM APIs, and multi-stage classification pipelines to help us scale our fiscal mapping process to all 50 states by 2028.

The ideal candidate will support the implementation of data quality standards across our fiscal map products, ensuring accuracy, completeness, and consistency. This position will report to the Data Governance Manager, and work with the state, local, federal, and Native Children and Youth fiscal mapping teams.

Responsibilities:

Data Pipeline Development & AI Integration

Design and maintain classification pipelines that process hundreds of budget documents—combining keyword filtering, zero-shot transformer models (BART, DeBERTa), and LLM-powered review for edge cases.
Work with structured and unstructured data, cleaning and transforming raw budget text into standardized funding stream records.
Stay current on AI advancements and help build a culture of responsible AI adoption across the organization.

Data Governance & Quality

Develop and implement procedures to ensure data accuracy, completeness, and consistency across our fiscal mapping products. This includes identifying data quality issues, resolving them where possible, and enforcing governance standards.
Work with product teams on process enhancement by introducing automations or workflow improvements.

Analysis & Collaboration

Analyze public fiscal data to reveal patterns, trends, and insights for publication.
Collaborate closely with fiscal mappers, communications, and strategy teams to align project goals to translate technical outputs into actionable information for non-technical audiences.
Cross-functional collaboration and working closely with federal and state fiscal mappers, communications, and strategy teams to align project goals. Participate in brainstorming sessions and contribute creative ideas for data storytelling

Qualifications:

Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Economics, or similar). Equivalent experience with data projects in professional or internship settings is also welcome.
Proficiency in Python for data processing and analysis, with experience cleaning and wrangling both structured and unstructured data.
Experience with SQL and relational databases.
Hands-on experience with AI/ML tools such as ChatGPT, Claude, or similar large language models in analytical workflows—including prompt engineering and output validation.
Communicates effectively with both technical and non-technical stakeholders. Can translate data findings into clear insights for policy audiences.
Operates effectively in ambiguity and is comfortable working through problems that don't have clear solutions or established processes.
Actively learns through experimentation. Views mistakes as opportunities to improve pipelines and processes.
Interest in public policy, government finance, or work that sits at the intersection of public policy, education, child and youth advocacy).
Ability to work independently in developing advanced data models and coordination of outputs into cohesive databases.
Experience with Diversity, Equity, Justice and Belonging (DEJB). Basic understanding of DEJB values, contributing to a respectful and inclusive team environment.
Strong attention to detail and a passion for ensuring data meet or exceed quality standards.
Team-oriented attitude with an ability to work independently in a remote environment.

Preferred Qualifications

Familiarity with Hugging Face transformers or similar libraries for text classification tasks (zero-shot classification, sentence embeddings).
Experience with Azure cloud services (SQL, Blob Storage, Data Factory) or similar platforms.
Familiarity with retrieval techniques (vector databases, embeddings, RAG architectures).
Prior experience in transforming technical and complex data insights into clear narratives for general non-technical audiences and writing accompanying text that contextualizes data and extracts and distills key insights.
Background in civic technology, government finance, or public interest data work.
Familiarity with Git, command line, and modern development workflows.
Experience leveraging GIS tools (ArcGIS, QGIS) to visualize and analyze spatially referenced data for policy research and program planning

Location: This is a fully remote position (employee may work anywhere within the continental U.S.). Some domestic travel is required.

Compensation: This position falls into the senior associate level of our salary structure with a starting full-time annual salary of $65,000. Children’s Funding Project offers a generous benefits package, a great (and growing) team, and a working environment that emphasizes professional development and growth.

To Apply: A cover letter is required for consideration and should address your specific interest in the position as well as relevant professional and lived experiences. The cover letter will weigh heavily in the selection process. Applications must be received by February 27, 2026. Please note that authorization to work in the U.S. is a precondition of employment and applicants for this position will not be sponsored for work visas.

Children’s Funding Project commits to building a diverse, equitable, and inclusive work environment that reflects the breadth of communities and clients we serve. We are an equal opportunity employer dedicated to hiring socially conscious individuals with diverse experiences and knowledge that deepen our organization’s impact. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. People of color, members of Tribal Nations and Native communities, LGBTQ-identified people, gender-nonconforming people, people with disabilities, veterans, and people who speak a language in addition to English are strongly encouraged to apply.

Children's Funding Project jobs

Senior Data Scientist Associate