Senior Data Scientist

Job ID: 1234304 | Amazon Dev Center U.S., Inc.

DESCRIPTION


Are you passionate about networking, Big Data, machine learning and cybersecurity? Are you ready for an exciting opportunity to work with some of the best data scientists and technologies and thrive in a super dynamic environment? Do you want to help secure millions of enterprises and organizations who are running their business in cloud at an unprecedented scale? How about making a difference in making the whole Internet more secure? Amazon Web Services (AWS) is looking for data scientists to joint its cyber-security analytics team.

You will leverage cutting-edge data technologies to perform statistical inference, classification, clustering, and various predictive analysis for a wide spectrum of problems in cybersecurity. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help extract new insights and drive new initiatives to defend against cyber-attacks. You will be working with a large variety and huge volume of of data sets, advanced security and data technologies, and truly innovative operation teams to create awesome analyses for cyber security.

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 we 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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
The preferred location for this position is Baltimore, MD, but it can also be located in Herndon, VA or Arlington, VA (HQ2).







BASIC QUALIFICATIONS

· Ph.D. in STEM plus 4 years’ experience, or MS in STEM (Science, Technology, Engineering, and Math) plus 8 years’ experience in predictive modeling, data science, machine learning, or user and entity behavior analytic development.
· Proficiency in acquiring, exploring, and transforming large volume of data with Python and SQLMinimum of 4 years’ work experience in an analytical role involving data extraction, analysis, and communication.
· Minimum of 2 years’ experience in developing/maintaining analytical models with Spark, Spark Streaming, and/or Hadoop.
· Minimum of 2 years’ experience in applying Data Science/ Analytics to information security related problems and understanding of enterprise security controls and tools.
· Experience of building and maintaining operational models processing large quantity of data in real-world production environments, using Python or R.

PREFERRED QUALIFICATIONS

· Proven record of solving difficult IT operational problems using analytical approach.
· Analytic development - SQL, NoSQL, graph-based, Key/Value stores, document stores, Python and/or RQuantitative modeling and statistical analysis skills.
· Extensive experience with one or more AWS cloud services.
· Experience developing analytical solutions on Spark with common ML libraries such as MLlib, Scikit-Learn, Caret, and MLR



Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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.