Easter Seals Jobs

Description

Amazon Web Services is looking for world class scientists to join the Compliance Automation team in AWS Global Services Security (GSS). GSS is responsible for delivering product-led, people-powered services that help our customers operate their business securely on AWS, and we are accelerating our adoption of AI/ML.

This is an exciting opportunity to contribute at the intersection of AI/ML, cloud, and cybersecurity. Your primary responsibility will be to envision, experiment, prototype, and help deliver AI/ML solutions in our products to meet the needs of our customers. You will have the opportunity to work with multiple lines of business and learn from (and contribute to) a variety of security use cases.

This is a hands-on role where success comes from solutions with measurable impact. If you have experience with large scale machine learning and have a passion for security, please join us.

Key job responsibilities

• Collaborate with security and business teams to identify viable data analysis opportunities

• Eagerly explore data - answering questions posed by our security and business teams

• Implement machine learning and statistical methods to solve specific business problems utilizing code

• Build reporting tools to provide insights and metrics which track model performance and explain variance

• Communicate results and recommendations both verbally and in writing. Educate our business partners about our solutions and potential opportunities

• Seek partnerships with peer AI/ML scientists to further develop your data science skills and a body of work that builds trust among colleagues

About the team

Compliance Automation team delivers innovative security solutions in code reducing complexity for compliance operations through automation. Utilizing broad knowledge across technology domains like security, infrastructure, data/analytics, Generative AI and AI/ML, we proactively identify areas to enhance security capabilities, and drive continuous improvements, prototyping and developing products and capabilities in-tune with industry trends and AWS best practices.

ABOUT AWS:

Diverse Experiences

Amazon 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.

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.

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 and 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.

Basic Qualifications

• 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 1+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience

• Bachelor's degree in computer science, engineering, mathematics or equivalent

• 1+ years experience with a machine learning toolkit (e.g., SciKit-Learn, Amazon SageMaker, PyTorch)

Preferred Qualifications

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

• Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch

• Experience working with Large Language Models (LLMs) including prompt engineering, vector databases, and retrieval augmented generation

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $206,800/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.