Decision Scientist: AI-Driven Product Insights

The AES Group; Washington (District of Columbia); Hybrid; USD 120,000 - 180,000; Full time

Job summary

The AES Group in Seattle, WA is seeking a Decision Scientist to partner with product managers, engineering, UX, and operations. You will drive data-informed decisions across product ordering experiences using advanced analytics, experimentation, and AI-enabled insights.

The ideal candidate translates complex data into actionable recommendations for product and business leaders and helps improve customer experience and operational efficiency.

Qualifications

• Translate complex business problems into practical data solutions.
• Create and implement data-driven workflows.
• Work with data dictionaries and data definitions.
• Work with data engines / platforms and structure data.
• Gather and translate business requirements into data solutions.
• Collaborate across business and tech teams to develop solutions.
• Connect business objectives with data and analytics.
• Design data transformations and analytical workflows.

Responsibilities

• Analyze product, operational, and customer experience performance to identify trends and opportunities.
• Build models, forecasts, and scenario planning tools to inform prioritization and ROI.
• Define measurement strategies for new products and evaluate A/B tests.
• Build scalable dashboards and AI-enabled analytics to empower product managers.
• Lead cross-functional teams through complex business questions and synthesize results into recommendations.
• Develop executive-ready narratives to communicate performance and actions.
• Promote best practices in product measurement and decision science.

Skills

Azure data lake

SQL Server

Oracle

Excel

SQL

SAS

R

Python

Tableau/Power BI

A/B testing

Education

Bachelor's degree

Tools

Databricks

Job description

The AES Group in Seattle, WA is seeking a Decision Scientist to partner with product managers, engineering, UX, and operations. You will drive data-informed decisions across product ordering experiences using advanced analytics, experimentation, and AI-enabled insights.

The ideal candidate translates complex data into actionable recommendations for product and business leaders and helps improve customer experience and operational efficiency.