Data Scientist, AWS Security
Job Location:
Job Location:
Howard County, MD - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
27 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
As a Data Scientist on our team you will leverage advanced analytics and machine learning to protect our cloud infrastructure from security threats. Youll develop and deploy sophisticated anomaly detection models predictive algorithms and real-time analysis systems that identify and help automate the mitigation of cyber threats across Amazons infrastructure. Your expertise in statistical analysis machine learning and big data processing will be crucial in building scalable security solutions.
Youll collaborate with software engineers security engineers and fellow data scientists to:
- Analyze large-scale security data using statistical methods and data mining techniques
- Create automated systems for real-time pattern recognition and risk assessment
- Build data pipelines and ETL processes to handle massive security datasets
- Translate complex analytical findings into actionable security insights
We use the full power of AWS technologies including Amazon SageMaker EMR and other ML/AI services to protect every AWS customer from security threats. Experience with Python and a strong background in statistical analysis and machine learning are essential.
Were looking for a new teammate who is enthusiastic empathetic curious motivated reliable and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture weve been building.
We understand that life is dynamic and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs. Our team is distributed though most of the team is located in Maryland and Virginia. We generally keep core business hours of 10:00 AM EST - 3:00 PM EST while allowing flexibility as needed. At AWS Security its not about clocking hours its about delivering results.
On-Call Responsibility
This position involves on-call responsibilities typically for one week every two months. We dont like getting paged in the middle of the night or on the weekend so we work to ensure that our systems are fault tolerant. When we do get paged we work together to resolve the root cause so that we dont get paged for the same issue twice.
Key job responsibilities
- Running experiments to assess potential risk of security responses.
- Expanding our existing LLM agent pipelines
- Analyzing post mortems to understand what data signals could have prevented the occurence
About the team
Diverse Experiences
Amazon Security 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 Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training 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 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.
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
Youll collaborate with software engineers security engineers and fellow data scientists to:
- Analyze large-scale security data using statistical methods and data mining techniques
- Create automated systems for real-time pattern recognition and risk assessment
- Build data pipelines and ETL processes to handle massive security datasets
- Translate complex analytical findings into actionable security insights
We use the full power of AWS technologies including Amazon SageMaker EMR and other ML/AI services to protect every AWS customer from security threats. Experience with Python and a strong background in statistical analysis and machine learning are essential.
Were looking for a new teammate who is enthusiastic empathetic curious motivated reliable and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture weve been building.
We understand that life is dynamic and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs. Our team is distributed though most of the team is located in Maryland and Virginia. We generally keep core business hours of 10:00 AM EST - 3:00 PM EST while allowing flexibility as needed. At AWS Security its not about clocking hours its about delivering results.
On-Call Responsibility
This position involves on-call responsibilities typically for one week every two months. We dont like getting paged in the middle of the night or on the weekend so we work to ensure that our systems are fault tolerant. When we do get paged we work together to resolve the root cause so that we dont get paged for the same issue twice.
Key job responsibilities
- Running experiments to assess potential risk of security responses.
- Expanding our existing LLM agent pipelines
- Analyzing post mortems to understand what data signals could have prevented the occurence
About the team
Diverse Experiences
Amazon Security 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 Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training 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 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.
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at MD Annapolis Junction - 136000.00 - 184000.00 USD annually
Required Experience:
IC
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