Causal Impact Scientist III

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Job Category:
Administrative, HR, Business Professionals

Location:

Los Angeles, CA, US, 90017

Position Type:
Full Time

Requisition

Salary Range: $(Min.) -$(Mid.) -$(Max.)

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Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time.
Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose.

Job Summary

The Causal Impact Scientist III is a senior, hands‑on practitioner responsible for developing and implementing scalable approaches to measure program impact across the organization. This position not only evaluates the historical effectiveness of interventions but also informs future program design, equity strategies, sub‑population targeting, and policy decisions.

The Causal Impact Scientist III leads the creation of modular, reusable analytic pipelines and causal inference frameworks that can be applied across multiple programs and initiatives. This position sets methodological standards, ensures analytic reproducibility, and mentors staff in best practices for causal analysis, study design, and evidence communication.

The Causal Impact Scientist III collaborates with cross‑functional teams integrating predictive and causal insights to drive enterprise‑wide decisions. Acts as a Subject Matter Expert (SME), serves as a resource and mentor for other staff.

Duties Lead the design, implementation, and interpretation of advanced causal inference studies across multiple health plan programs using techniques such as difference‑in‑differences, propensity score methods, inverse probability weighting, synthetic controls, interrupted time series, and Randomized Control Trials (RCTs).

Develop scalable, modular frameworks for impact evaluation that can be ported across programs and interventions, ensuring reproducibility, transparency, and efficient deployment. Identify which interventions deliver the greatest value, equity, and member outcomes, guiding sub‑population targeting, program improvement, and policy recommendations. Mentor and provide technical guidance to staff on methodology, coding, documentation, and analytic rigor. Build and maintain robust, reproducible analytical pipelines in Python (PySpark, pandas) and R;

leverage Snowflake/Snowpark, Spark, and cloud‑based computing resources to scale analyses. Lead Git Hub version control, peer review, and code standardization practices to ensure high‑quality, reusable analytic assets. Manage project deliverables and team workflows in Jira; document methods, assumptions, and results clearly in Confluence. Translate complex analytic findings into actionable insights, guiding executive decision‑making and influencing strategic initiatives. Collaborate with cross‑functional teams to integrate causal and predictive insights for comprehensive program evaluation.

Stay current on emerging methods in causal inference, impact evaluation, and population health analytics, incorporating new approaches into the team’s analytic toolkit. Apply subject matter expertise in evaluating business operations and processes. Identify areas where technical solutions would improve business performance. Consult across business operations, provide mentorship, and contribute specialized knowledge. Ensure that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices.

Provide training and recommend process improvements as needed. Perform other duties as assigned Education Required

Master's Degree

In lieu of degree, equivalent education and/or experience may be considered.

Education Preferred

Doctorate Degree

Experience

Required:

At least 6 years of professional experience conducting causal…