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Urgent! Director - Applied Science, Amazon Connect Job Opening In Seattle – Now Hiring Amazon
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.
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Unlock Your Director Applied Potential: Insight & Career Growth Guide
Real-time Director Applied Jobs Trends in Seattle, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Director Applied in Seattle, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 80693 jobs in United States and 1008 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in Director Applied roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Amazon is currently hiring and seeking a Director Applied Science, Amazon Connect to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Director Applied Science, Amazon Connect Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Director Applied Science, Amazon Connect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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