Director - Applied Science, Amazon Connect
Director - Applied Science, Amazon Connect
Posted on :
13-08-2025
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1 Vacancy
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Job 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
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
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 for more information. If the country/region youre applying in isnt 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 $262500/year in our lowest geographic market up to $350000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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
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
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 for more information. If the country/region youre applying in isnt 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 $262500/year in our lowest geographic market up to $350000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Director
Employment Type
Full-Time
Key Skills
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