
Sr. Data Scientist - Evaluation Agenda Manager (N383)
- Los Angeles, CA
- $9,333-12,576 per month
- Permanent
- Full-time
- Lead the coordination and management of the Measure A Evaluation Agenda, supporting the Director of Data Analytics and Evaluation in developing, maintaining, and updating the agenda in alignment with Measure A requirements.
- Review and assess causal impact evaluations, ensuring research designs are capable of answering the questions they pose in terms of statistical precision and causal identification.
- Manage the planning, scheduling, and facilitation of community and stakeholder engagement processes, including executive governance bodies, County departments and agencies, community-based organizations, and people with lived experience of homelessness.
- Drive forward the publication of the AEA, helping bring together diverse recommendations for its direction, develop actionable research questions and research strategies in response to community and leadership input, and prioritize questions around a timeline and roadmap for implementation.
- Support the procurement and management of evaluation contracts: draft requests for proposals, scopes of work, monitor deliverables, provide technical feedback on interim deliverables (such as analysis plans and draft reports) to contractors, escalate issues when needed.
- Track and report on progress across multiple ongoing evaluations, synthesizing findings and presenting updates to leadership and the community. These summaries of findings should identify pathways for action and impact to improve system performance.
- Coordinate the development and execution of Data Sharing Agreements (DSAs), Memoranda of Understanding (MOUs), Institutional Review Board (IRB) reliance agreements, and other legal and institutional agreements required for evaluation work.
- Draft, revise, and publish version-controlled evaluation agenda documents annually, in collaboration with evaluation staff, contractors, and external stakeholders.
- Contribute to the design and oversight of internal evaluation initiatives.
- Ensure that all evaluation work reflects Measure A principles of equity, transparency, accountability, and innovation.
- Masters degree or Ph.D. covering quantitative causal inference and evaluation methods strongly preferred (political science, public policy, public administration, sociology, public health, economics, etc.)
- Familiarity with homeless services systems and programs
- Demonstrated experience with contract management and project coordination, including writing scopes of work, overseeing vendors, and tracking deliverables
- Strong understanding of causal inference and evaluation design, including power analysis, quasi-experimental methods, randomized trial design, and meta-analysis
- Familiarity with additional evaluation methodologies, including qualitative methods, process-tracing, focus groups, participatory research principles, implementation science preferred
- Familiarity with public-sector contracting and procurement processes
- Experience managing stakeholder engagement, including close community engagement with marginalized populations
- Experience coordinating DSAs / MOUs / IRB protocols a plus
- Experience writing policy or evidence briefs summarizing research findings for non-technical decision-makers
- Commitment to advancing equity and using data to support transparency and continuous improvement
- Ability to translate complex evaluation findings into actionable insights that inform policy and countywide strategic planning
- Familiarity with continuous process improvement and related project management methodologies
- A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
- Successful clearing through the Live Scan process with the County of Los Angeles.
- Knowledge of homeless services systems, housing programs, and County governance structures
- Proficient in data visualization tools (e.g. Power Bi, Tableau, etc.)
- Familiarity with project management tools (e.g. Jira, Trello, Airtable, etc.)
- Familiarity with statistical software (e.g. R, Stata, Python, SAS, etc.) and cloud-based analytic tools (e.g. Databricks, Redshift, Bigquery)
- Familiarity with statistical power analysis and proficiency in statistical reasoning
- Strong facilitation skills for multi-stake holder discussions with government, community-based organizations, and individuals with lived experience of homelessness