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machine learning data science martech reinforcement learning proof of conceptsπ Description
- Drive revenue by increasing adoption of BrazeAI and related services.
- Scope use cases with enterprise data scientists; run POCs and demos.
- Lead AI Academies and other educational programs.
- Collaborate with cross-functional teams to improve Braze products and materials.
- Base in Chicago with up to 25% travel for the AMER region.
π― Requirements
- Fluent English, both written and verbal.
- Experience with machine learning and data science; familiarity with reinforcement learning.
- Strong presenter; excellent collaboration with enterprise customers.
- Ability to lead technical discussions and deliver demos/POCs.
- Customer-focused, curious, empathetic, and able to persuade.
- Comfort working cross-functionally with sales, marketing, product, and engineering.
π Benefits
- Equity grants and total rewards
- Flexible paid time off
- Medical, dental, vision, life and disability coverage
- Retirement plans and ESPP
- Learning stipend and career development
- Curated in-office employee experience
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