Teams at Learning Care Group

Lead large-scale, cross-functional projects from initiation through implementation: define scope, governance, plans, risks, budgets, communications, and handoffs. Develop change management, coordinate vendors, create executive presentations, and ensure PMO and policy compliance.

Lead experimentation and decision science initiatives from problem definition through recommendations. Design and analyze A/B tests, quasi-experiments, matched-market tests, and causal inference studies. Apply advanced statistics, regression, predictive modeling, machine learning, and big-data analysis using Python, R, SQL, and PySpark. Partner with stakeholders, communicate actionable findings, build reproducible workflows, and mentor analysts and junior data scientists.

Conduct internal audits, evaluate financial and operational controls, identify risks and control gaps, analyze data for anomalies, monitor remediation, and recommend process improvements. The role supports compliance with company policies, regulatory requirements, GAAP, SOX, and industry standards while collaborating with cross-functional teams.