Sunnyvale, CA; Mountain View, CA
Full-Time $110,000 - $140,000
Posted 9/20/2013
Job Details
Software Engineer- Mathematics and Analytics
About us: We are a well-funded startup that is in the business of predictive sales and revenue intelligence.
About you: You are a mathematic mind and a hard-core coder. You will be responsible for the delivery and quality improvement of a top-notch analytics platform.
Responsibilities:
• Develop and implement new distributed models, while monitoring performance and calibration
• Design and run detailed and thought-out automation and testing scenarios
• Gather all analytics to further dissect for areas of improvement
• Work directly with Data Scientists to collaborate on new developments and translate their thoughts into expert code
Requirements:
• Ability to master multiple projects simultaneously, while remaining creative and acting as a thought-leader for our team
• Experience in developing forecasting and risk models (Preferably with financial institutions)
• Experience with automation, TDD and developing testable/modular code
• Strong knowledge of Java, Python, NoSQL Databases and Amazon environments
• Minimum of a Master's degree with a field relevant to math and/or statistics
If you are a mid-senior level Software Engineer looking to leave your footprint on a well-funded startup, please apply now!
Must be authorized to work in the United States on a full-time basis for any employer.
Job ID: JL-SW-AnSim-MtnVw
Clicking the green apply button is the best way to apply, but you may also email me your resume in Word:
Jennifer.Long@CyberCoders.com
**Please do NOT change the email subject line in any way. You must keep the JobID: CC MonsterAp: JL-SW-AnSim-MtnVw -- in the email subject line for your application to be considered.**
Thank you,
Jennifer Long | Executive Recruiter | CyberCoders
CyberCoders, Inc is proud to be an Equal Opportunity Employer. Applicants are considered for all positions without regard to race,
color, religion, sex, national origin, age, disability, sexual orientation, ancestry, marital or veteran status.
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