Data Scientist - Data and Machine Learning, WWPS ProServe
Data Scientist - Data and Machine Learning, WWPS ProServe
Posted on :
29-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
29-05-2025
Job Description
Are you excited to help the healthcare and life sciences (HCLS) industry customers 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) Professional Services team works directly with HCLS customers to achieve their goals through the adoption of Machine Learning (ML) and Generative AI methods. 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 HCLS 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 HCLS data sources and building data-intensive 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 be a US Citizen.
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 real-world 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
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below 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 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 (diversity) conferences 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 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 theres nothing we cant achieve in the cloud.
- Bachelors degree in Computer Science Engineering related field or equivalent experience
- 3 years of experience building models for business applications
- Experience with algorithms data structures parsing numerical optimization data mining parallel and distributed computing high-performance 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 JAX)
- Experience of working with healthcare and life sciences data (e.g. EHR HL7/FHIR insurance claims genomics medical imaging etc)
- Masters or PhD Degree in computer science engineering mathematics operations research or in a highly quantitative field related to healthcare and life sciences
- Practical experience in solving complex problems using cloud computing
- Experience building applications leveraging GenAI
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $125500/year in our lowest geographic market up to $212800/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.
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 HCLS 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 HCLS data sources and building data-intensive 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 be a US Citizen.
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 real-world 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
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below 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 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 (diversity) conferences 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 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 theres nothing we cant achieve in the cloud.
- Bachelors degree in Computer Science Engineering related field or equivalent experience
- 3 years of experience building models for business applications
- Experience with algorithms data structures parsing numerical optimization data mining parallel and distributed computing high-performance 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 JAX)
- Experience of working with healthcare and life sciences data (e.g. EHR HL7/FHIR insurance claims genomics medical imaging etc)
- Masters or PhD Degree in computer science engineering mathematics operations research or in a highly quantitative field related to healthcare and life sciences
- Practical experience in solving complex problems using cloud computing
- Experience building applications leveraging GenAI
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $125500/year in our lowest geographic market up to $212800/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.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
