Applied Scientist II, Business, Business - GTMO Science

Position: Applied Scientist II, Amazon Business, Amazon Business - GTMO Science

Applied Scientist II, Amazon Business, Amazon Business - GTMO Science

Job : | Amazon EU SARL (Spain Branch)

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying.

Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries.

Key job responsibilities

• Leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history; perform text mining and insight analysis of real‑time customer conversations and make the model learn and recommend solutions. Impact customer trust and partner with product and technical leadership to innovate customer journey experiences.
• Understand business problems, analyze available data, identify appropriate statistical or machine learning techniques to answer business questions.
• Design and lead large projects and experiments from beginning to end; drive solutions to complex or ambiguous problems.
• Leverage expertise to recommend right strategies, methodologies and solve challenges using statistical modeling, machine learning, optimization, and other approaches for quantifiable impact on the business.
• Build models that measure incremental value, predict growth, conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.

A day in the life

In this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in‑depth data analysis and feature engineering to build robust ML models.

Basic

Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
• Experience with programming in Python language
• Experience in solving business problems through machine learning, data mining, reinforcement learning and statistical algorithms

Preferred Qualifications

• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffr