Director - Applied Science, Amazon Connect

2 giorni fa

Milano, Italia Amazon A tempo pieno

Director - Applied Science, Amazon Connect
Job ID: 2972323 | Amazon Development Center U.The Amazon Connect Interactive AI and Engagement organization was formed in April 2025 to bring together Contact Lens, Q in Connect, and Flows/Lex into one organization, responsible for weaving native-AI across the Connect application experiences delivered to end-customers, agents, and managers/supervisors. We are reimagining customer engagement to enable companies to deliver proactive and personalized experiences (in websites, mobile apps, and traditional contact center channels including voice, messaging, and email) that discern and resolve end-customers’ intent before problems ever arise. To succeed, we need a unified science strategy and approach to power ‘AI-throughout’ customer experiences that leverage humans in the loop when required to meet business goals. We seek to hire a Director of Applied Science who will define and execute that strategy, and organization required. This leader will push the technical boundaries in generative AI science, shaping the industry, while influencing and leading key product investments across Connect service teams and leadership.
We are executing to be the leader irrespective of the ultimate balance between proactive end‑customer self‑service and agent‑assisted workloads. To do so, science innovation will be pivotal to help achieve our ambitious goals, differentiating Amazon Connect from our competitors.
The Director of Applied Science will lead us to propose and deliver an organizational plan that is aligned to a unified science strategy. This science strategy will enable data‑driven, AI‑powered continuous optimization across self‑service, agent assistance, and manager assistance workloads. This leader will inherit an existing applied science team, and possibly (strategy dependent) a data integrations team engineers. Beyond direct team ownership, this leader will be responsible for cross‑AWS science collaboration with Bedrock, AGI, Q, and Transcribe organizations.
MS in CS, Machine Learning, Statistics, Operations Research or similar.
~10 years of hands‑on experience in predictive modeling and large data analysis
~ Strong skills with SQL
~ Strong skills with Spark/Python/Perl (or similar)
~ Communication and data presentation skill
~ PhD in Computer Science, Machine Learning, Statistics or Operations Research
~Expert skills with SQL
~ Expert skills with Spark/Python/Perl (or similar)
~ If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Our compensation reflects the cost of labor across several U.Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

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