Edwards Lifesciences

Senior Principal Data Scientist, Advanced Forecasting

USA - California – Irvine · Principal

Sponsorship not specified$145k-$205kDetected 9 days ago

PythonSQLDatabricksAWSAzureMachine LearningData ScienceStatisticsForecastingFP&ALeadershipCommunicationBiostatistics

About the role

Imagine how your ideas and expertise can change a patient's life.
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.

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.
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.
Collaborate with Data/IT to improve pipelines, data quality/governance, and automation; ensure models are scalable, maintainable, and auditable.
Experience setting standards, leading cross-functional work, and building repeatable playbooks.

Bachelor's Degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, Biostatistics
What you'll need (Required):
Experience with planning platforms (e.g., Anaplan) and driver-based planning / forecasting frameworks.

What else we look for (Preferred):
Strong hands-on capability in Python or R, plus SQL
comfortable with large datasets and model lifecycle basics.
Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred

For California (CA), the base pay range for this position is $145,000 to $205,000 (highly experienced).

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)
Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems.
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience).
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them.

E dwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

This listing is sourced directly from Edwards Lifesciences's careers page and normalized into a canonical job model.