Algorithms Scientist (PhD)

_Contact_:
Please apply at careers@guardiananalytics.com

Algorithms Scientist (PhD)
You are an accomplished mathematician/statistician and computer scientist able to develop, analyze and program cutting-edge algorithms based on Bayesian networks and statistical models that will be at the core of Guardian Analytics' fraud prevention applications. You will extend, develop, program and implement new algorithms and underlying mathematical theory, and use your software and database skills to help design and implement core components of our algorithms and models.

There is a practical application to your work. Here is a link to a short video about the recent release of a study we coauthored with McAfee about banking fraud: news.sky.com/story/952931

Requirements:

• Ph.D. in statistics, CS, or related engineering disciplines with focus on mathematical algorithms, probability theory, statistical modeling, and machine learning techniques
• 2+ years of experience in algorithm development and statistical analysis of massive datasets and events
• Proven ability to balance theory with pragmatic problem solving skills to develop and apply advanced algorithms to real world problems and data.
• Hands on experience with statistical analysis, visualization and data mining tools such as R (strongly preferred) or MATLAB.
• 1-2 years of scripting experience (Python, Perl) and writing SQL queries and working with databases (MySQL preferred). Software programming skills in Java or C++ a plus
• Ability to work with product managers and engineers to translate requirements into design that can be implemented in code for both fraud detection and data visualization
• Knowledge or interest in fraud threats, especially in the financial sector
• Resourceful, flexible, adaptable team player
• Very strong written and oral communication skills
• Proven ability to work within a dynamic startup environment

Like our SaaS products, our culture is nimble and focused on innovation, quality results and rapid execution. In addition, we offer great employee benefits including competitive compensation, a variety of medical and health plans, incentive stock options, lunch provided twice a week, subsidized gym memberships and more. Our office is walking distance to Peets, Whole Foods, restaurants, other conveniences, and CalTrain San Antonio Station.

Come join our team, and enjoy the benefits of a small rapidly growing company with a great team and culture.

_Contact_:
Please send your resume and cover letter to: careers@guardiananalytics.com