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Associate Data Scientist, Global Services Security
3 months ago
Amazon Web Services is looking for world class scientists to join the Security Innovation 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, this will be an exciting opportunity.
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
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.
We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life BalanceOur team puts a high value on work-life balance.
It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career GrowthOur team is dedicated to supporting new members.
We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.
We care about your career growth and strive to assign projects based on what will help each team member develop and enable them to take on more complex tasks in the future.
BASIC QUALIFICATIONS- Bachelor's degree or higher in computer science, engineering, math, statistics, data analytics or operations research
- 1+ years of data scientist or similar role involving data extraction, analysis, ML or statistical modeling, and communication of results
- 2+ years data querying (e.g., SQL or Hadoop) and scripting language (e.g., Python)
- 1+ years experience with a machine learning toolkit (e.g., SciKit-Learn, Amazon SageMaker, PyTorch)
- Master's degree in computer science, engineering, math, statistics
- Handson experience with deep learning (e.g., CNN, RNN, LSTM, Transformer).
- Experience working with Large Language Models (LLMs) including prompt engineering, vector databases, and retrieval augmented generation.
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 visitOur 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.