Director - Applied Science, Amazon Connect

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Director - Applied Science, Amazon Connect Join to apply for the Director - Applied Science, Amazon Connect role at Amazon Director - Applied Science, Amazon Connect 1 day ago Be among the first 25 applicants Join to apply for the Director - Applied Science, Amazon Connect role at Amazon Description
The following information aims to provide potential candidates with a better understanding of the requirements for this role.
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. Description
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.
The business opportunity is substantial. 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.
Key job responsibilities
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. We believe that the strategy this leader defines will require additional applied scientists. Beyond direct team ownership, this leader will be responsible for cross-AWS science collaboration with Bedrock, AGI, Q, and Transcribe organizations.
Basic Qualifications
Basic qualifications
A MS in CS, Machine Learning, Statistics, Operations Research or similar. 10 years of hands-on experience in predictive modeling and large data analysis Expertise in Machine Learning as applied to large-scale generative models Strong ML breadth and depth Strong skills with SQL Strong skills with Spark/Python/Perl (or similar) Communication and data presentation skill Strong problem-solving ability
Preferred Qualifications
A PhD in Computer Science, Machine Learning, Statistics or Operations Research 15 years of industry experience in ML Superior ML breadth and depth Expert skills with SQL Expert skills with Spark/Python/Perl (or similar) Superior problem solving
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $262,500/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon Development Center U.S., Inc.
Job ID: A2972323Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionResearch, Science, and Engineering IndustriesSoftware Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Science Director jobs in Seattle, WA . Seattle, WA $150,000.00-$175,000.00 1 week ago Seattle, WA $271,000.00-$361,000.00 5 days ago Bellevue, WA $212,000.00-$247,000.00 6 days ago Redmond, WA $169,000.00-$304,200.00 21 hours ago Seattle, WA $135,000.00-$150,000.00 4 hours ago Bellevue, WA $217,000.00-$301,000.00 1 week ago Seattle, WA $150,000.00-$180,000.00 10 hours ago Bellevue, WA $212,000.00-$247,000.00 1 week ago Regional Vice President - Pacific Northwest Seattle, WA $120,000.00-$140,000.00 1 week ago Seattle, WA $225,000.00-$295,000.00 5 days ago Director, Strategy & Operations Excellence Seattle, WA $197,000.00-$275,500.00 1 week ago Seattle, WA $125,000.00-$145,000.00 1 week ago Director - Global Digital Marketing & Virtual Experiences Bellevue, WA $217,500.00-$312,685.00 1 week ago Seattle, WA $115,000.00-$150,000.00 2 weeks ago Bellevue, WA $78,000.00-$82,365.00 1 week ago Seattle, WA $167,700.00-$251,500.00 1 day ago Sr. Director, Global Business and Commercial Seattle, WA $210,000.00-$240,000.00 5 days ago Director - Global Digital Marketing & Virtual Experiences Bellevue, WA $217,500.00-$312,685.00 1 week ago Customer Success Executive Operations Director Seattle, WA $177,600.00-$257,600.00 2 weeks ago Greater Seattle Area $180,000.00-$250,000.00 1 week ago Seattle, WA $165,000.00-$185,000.00 4 days ago Seattle, WA $162,950.00-$171,500.00 10 hours ago Seattle, WA $120,600.00-$149,400.00 2 weeks ago Deputy Director, People Global Operations Seattle, WA $208,600.00-$352,400.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Location:
Seattle, WA
Salary:
$250
Category:
Accountancy

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