We are seeking a talented and analytical Data Scientist to join our team and drive data-driven insights and solutions. In this role, you will be responsible for performing exploratory data analysis, developing and deploying predictive models, and leveraging advanced analytics techniques to uncover valuable insights and support data-driven decision-making across the organization.
Key job responsibilities
• Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems
• Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
• Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models
• Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
• Work closely with partner teams to drive model implementations and new algorithms
About the team
Amazon Web Services (AWS) provides a scalable cloud computing platform to companies globally. AWS Global Services (GS), formed in 2022, delivers customer success throughout the cloud adoption lifecycle. Our 25K+ employees and integrated offerings enable us to combine technology and human expertise to maximize and accelerate customer outcomes.
GS is comprised of four primary business units: 1) Global Services Security (GSS) provides security guidance and offerings, 2) Training & Certification (T&C) offers cloud skills training and certification, 3) Professional Services (ProServe) provides consulting and hands-on-keyboard services, and 4) Support and AWS Managed Services (Support) delivers 24/7 technical support and managed services.
Together, these teams continuously improve our systems and processes to enable better results for both customers and employees, with the GS Strategy & Operations (GSS) teams supporting each. GSSO enables integrated business support, product management, planning, and deal strategy for GS. GSSO understands customer experiences and inspires bold ideas to deliver the best experiences and solutions to our customers. We embrace scientific thinking, pursue continuous improvement, and develop talent to provide world-class support across GS.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
Key job responsibilities
• Collaborate with our applied and data scientists to build robust and scalable Generative AI solutions for business problems
• Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
• Work hands on to build scalable cloud environment for our customers to label data, build, train, tune and deploy their models
• Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
• Work closely with partner teams to drive model implementations and new algorithms
About the team
Amazon Web Services (AWS) provides a scalable cloud computing platform to companies globally. AWS Global Services (GS), formed in 2022, delivers customer success throughout the cloud adoption lifecycle. Our 25K+ employees and integrated offerings enable us to combine technology and human expertise to maximize and accelerate customer outcomes.
GS is comprised of four primary business units: 1) Global Services Security (GSS) provides security guidance and offerings, 2) Training & Certification (T&C) offers cloud skills training and certification, 3) Professional Services (ProServe) provides consulting and hands-on-keyboard services, and 4) Support and AWS Managed Services (Support) delivers 24/7 technical support and managed services.
Together, these teams continuously improve our systems and processes to enable better results for both customers and employees, with the GS Strategy & Operations (GSS) teams supporting each. GSSO enables integrated business support, product management, planning, and deal strategy for GS. GSSO understands customer experiences and inspires bold ideas to deliver the best experiences and solutions to our customers. We embrace scientific thinking, pursue continuous improvement, and develop talent to provide world-class support across GS.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.