Senior Principal Data Scientist, Advanced Forecasting

This role sits at the intersection of Corporate Finance (FP&A) and advanced analytics / data science. The Senior Manager will serve as a bridge to translating data into actionable financial insights. This role will build and operationalize statistical forecasting and scenario models to improve planning accuracy and decision quality — partnering closely with Finance leaders and enabling this capability in our planning platform (Anaplan). The role will help stand up an Advanced Forecasting Center of Excellence across Finance, setting standards for advanced model governance, validation, and repeatable planning playbooks.

On-site in Irvine

How you’ll make an impact:

• Build and maintain data-driven forecasting models (time-series, AI/ML, causal/driver-based, Monte Carlo / probabilistic scenarios) for key financial and operational outcomes (revenue, margin, opex, cash flow, etc.)

• Act as a strategic partner to the Anaplan planning program: define requirements for data-based forecasting and ensure outputs integrate cleanly into planning workflows.

• Build “last mile” adoption: templates, dashboards, documentation, and stakeholder training so teams can consistently use the statistical outputs in planning and reviews.

• Communicate complex findings clearly: concise executive narratives, visuals, and recommendations grounded in data.

• Establish model testing/validation routines (back-testing, error metrics, drift monitoring) and create clear documentation for assumptions, limitations, and controls.

• Partner with FP&A to marry insights from management forecasts with data-driven insights from the statistical forecasts.

• Design scenario and sensitivity frameworks that quantify tradeoffs, risks, and uncertainty translating outputs into actionable insights for Finance and business leaders.

• Stand up an Advanced Forecasting Center of Excellence: modeling standards, reusable code/modules, data definitions, governance, and prioritization intake.

• Collaborate with Data/IT to improve pipelines, data quality/governance, and automation; ensure models are scalable, maintainable, and auditable.

• Other incidental duties

What you'll need (Required):

• Bachelor's Degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Biostatistics

• A minimum of ten years of experience including either industry or industry/education or equivalent work experience (OR eight years with a Masters OR four years with a PH.D)

What else we look for (Preferred):

• Strong hands-on capability in Python or R, plus SQL; comfortable with large datasets and model lifecycle basics.

• Excellent communication and interpersonal skills, with the ability to engage stakeholders at all levels.

• Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)

• Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred

• Strict attention to detail

• Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems.

• Experience with planning platforms (e.g., Anaplan) and driver-based planning / forecasting frameworks.

• Familiarity with cloud/data platforms (e.g., Databricks/Azure/AWS equivalents) and modern analytics workflows.

• Experience setting standards, leading cross-functional work, and building repeatable playbooks.