Senior Data Scientist - Data and Machine Learning WWPS ProServe
Senior Data Scientist - Data and Machine Learning WWPS ProServe
Posted on :
13-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 143300 - 247600
Vacancy
1 Vacancy
Posted on :
13-04-2025
Job Description
Are you excited to help the US Intelligence Community design build and implement AI algorithms including advanced Generative AI solutions to augment decision making while meeting the highest standards for reliability transparency and scalability The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text image video audio and multimodal use cases leveraging both traditional ML approaches and stateoftheart generative models including Large Language Models (LLMs) texttoimage generation and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams to get the right solution delivered and drive feature innovation based on customer needs.
At AWS were hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents and build solutions that earn the customer trust needed for deployment to production systems.
In this role you will work closely with customers to deeply understand their data challenges and requirements and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources and building dataintensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders develop key business questions and translate requirements into actionable solutions. You will provide guidance and support to other engineers sharing industry best practices and driving innovation in the field of data science and AI.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
As an Data Scientist you will:
Collaborate with AI/ML scientists and architects to research design develop and evaluate AI algorithms to address realworld challenges
Interact with customers directly to understand the business problem help and aid them in implementation of AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction
This position may require up to 25 local travel.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences and inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Bachelors degree in Computer Science Engineering related field or equivalent experience
5 years of experience building models for business applications
Experience with algorithms data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing neural deep learning methods and/or machine learning
Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow Keras PyTorch MXNet)
Current active US Government Security Clearance of TS/SCI with Polygraph
Masters or PhD Degree in computer science engineering mathematics operations research or in a highly quantitative field
Practical experience in solving complex problems in an applied environment
Hands on experience building models with deep learning frameworks like PyTorch Tensorflow or JAX
Experience building applications leveraging GenAI
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
At AWS were hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents and build solutions that earn the customer trust needed for deployment to production systems.
In this role you will work closely with customers to deeply understand their data challenges and requirements and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources and building dataintensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders develop key business questions and translate requirements into actionable solutions. You will provide guidance and support to other engineers sharing industry best practices and driving innovation in the field of data science and AI.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
Key job responsibilities
As an Data Scientist you will:
Collaborate with AI/ML scientists and architects to research design develop and evaluate AI algorithms to address realworld challenges
Interact with customers directly to understand the business problem help and aid them in implementation of AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction
This position may require up to 25 local travel.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences and inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Bachelors degree in Computer Science Engineering related field or equivalent experience
5 years of experience building models for business applications
Experience with algorithms data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing neural deep learning methods and/or machine learning
Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow Keras PyTorch MXNet)
Current active US Government Security Clearance of TS/SCI with Polygraph
Masters or PhD Degree in computer science engineering mathematics operations research or in a highly quantitative field
Practical experience in solving complex problems in an applied environment
Hands on experience building models with deep learning frameworks like PyTorch Tensorflow or JAX
Experience building applications leveraging GenAI
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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:
Senior IC
Employment Type
Full-Time
Key Skills
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