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Data scientist (AMMK376)

Job Category:
Technology Provider
Career Level:
Mid Career (2+ years of experience)
Job Type:
Full Time/Permanent
Positions:
1
Company Name:
Fortinet
City:
Sunnyvale
Country:
USA
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Organization Overview Fortinet (NASDAQ: FTNT) protects the most valuable assets of some of the largest enterprise, service provider and government organizations across the globe. The company's fast, secure and global cyber security solutions provide broad, high-performance protection against dynamic security threats while simplifying the IT infrastructure. They are strengthened by the industry's highest level of threat research, intelligence and analytics. Unlike pure-play network security providers, Fortinet can solve organizations' most important security challenges, whether in networked, application or mobile environments - be it virtualized/cloud or physical. More than 310,000 customers worldwide, including some of the largest and most complex organizations, trust Fortinet to protect their brands. Learn more at http://www.fortinet.com, the Fortinet Blog http://blog.fortinet.com/ or FortiGuard Labs http://www.fortiguard.com/.
City Sunnyvale
State/Province California [CA]
Country United States [US]
Title Data scientist (AMMK376)
Req # AMMK376
Job Status Full Time Regular
Functional Area Marketing/Communications
Position Overview   
Job Title: Data Scientist I
Job Description:
Fortinet is ramping up several exciting new threat intelligence projects and we are looking to add to our team! We are analyzing threat telemetry from multiple data sources, most of which are from one of our 10 in-house product groups. In addition, we are ingesting real-world enterprise data from thousands of assessments which we perform annually. Our FortiGuard Big Data repository is growing as fast as our industry-leading 3M device install base. This unprecedented stockpile of threat data is only available to a select team of researchers and engineers within Fortinet. 
This is where you can apply your technical expertise! As part of this multidisciplined threat intelligence effort, we are looking to add a data scientist that can help us look at this globally collected threat data from unique perspectives. This specific role will challenge you to combine the best of engineering and marketing; mining our vast threat amount of FortiGuard data and transforming it into high value intelligence and unique insights for enterprise CSOs and SecOps teams worldwide.
Required Skills:
·         Experience with Big Data systems (preferably Elasticsearch)
·         At least two years of programming experience with Python
·         Prior exposure to data analysis libraries such as R, NumPy, or Matlab
·         Strong writing/editing skills with a fluent command of the English language
·         Threat intelligence background (knowledge of current threat landscape/attack types)
·         Excellent organizational, analytical, communication and interpersonal skills
Nice to Have:
·         Knowledge of machine learning frameworks (such as Tensorflow, Torch, Theano)
·         Experience with D3 charts or similar visualization packages
·         Previous experience with relational databases and SQL
·         Using cloud computing models such as Amazon AWS
Educational Qualifications:
·         Bachelors or equivalent experience preferred; self-taught candidates will also be considered
Perks:
·         Work from home potential for right candidate
·         Primarily individual contributor role
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EEOC / AAP Accommodation: If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Fortinet, Inc at (408) 235-7700 of accommodations@fortinet.com for assistance. 

EEO: All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.