Data Scientist, CS Security, Threat Engineering and Development
3 weeks ago
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Are you interested in playing a pivotal role in building innovative technology that protects Amazon's customers? Threat Engineering and Development team, in Customer Support Security (CS Security) group, is responsible for automating detection of cyber-security threats in Amazon's global contact center network. Among other things, we build monitoring systems that collect data at scale, and use machine learning (ML) to detect adversarial action in our systems.
We are looking for a Data Scientist to join our Threat Engineering and Development team. As a Data Scientist, you will complement our strengths and apply your data science skills, and tradecraft, to analyze terabytes of user behavior data, to detect threatening behaviors. You will build threat detection models and algorithms, which will be used to detect attacks and raise security investigations. You need to be highly motivated, eager to learn and be curious, and resourceful in finding novel ways to analyze data in order to produce actionable threat indicators.
This is a highly visible role that requires partnering with multiple organizations, security, and technology teams in order to extract the intelligence and effect change. You should have the experience and capability to create and present documentation to champion security causes. Excellent written and verbal communication skills are essential. You should be experienced in working with data to analyze and detect trends, outliers, and have advanced analytical, mathematical, and quantitative abilities.
Key job responsibilities
Design and run experiments, research new algorithms, and find new ways to improve detection of fraudulent activities.
Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.
Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that protect our customers.
Foster a culture of continuous engineering improvement through mentoring, feedback, and metrics.
Manipulating/mining data from databases
Providing analytical network support to improve quality and standard work results.
Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.
Applying statistical or machine learning knowledge to solve specific business problems.
Conducting written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
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, hasn't followed a traditional path, or includes alternative experiences, don't 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 Amazon's 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, it's 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
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, 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, there's nothing we can't achieve.
Basic Qualifications
2+ years of data scientist experience
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
Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't 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 $125,500/year in our lowest geographic market up to $212,800/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.
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