Data Mining Algorithms PhD Scientist

Company: Guardian Analytics
Location: Los Altos, CA
Web: www.guardiananalytics.com

Guardian Analytics provides banks and credit unions with superior fraud detection, forensics and risk monitoring solutions based on our patented analytics and rich, predictive modeling of customer behavior. Our innovative software proactively predicts fraud before it happens vs. relying upon traditional, rules-based solutions which are clearly losing the battle against cyber crime. We are located in charming downtown Los Altos, and are well funded by top Silicon Valley VCs with strong domain and executive leadership, brand name customers and growing revenue.

Data Mining Algorithms PhD Scientist
We are seeking an accomplished mathematician/statistician or computer scientist who is able to develop, analyze and program cutting-edge algorithms based on Bayesian networks and statistical models that are at the core of Guardian Analytics' fraud prevention applications. In this highly visible and mission critical role reporting to our Chief Mathematician, you will work closely with Engineering and Products to extend, develop, implement and program 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.

Qualifications/Skills/Experience
Ph.D in Math, CS, Statistics or related discipline with at least 3+ years of industry and software development experience in statistical or web analytics for online massive, dynamic data sets and events

Theoretical knowledge, intuitive understanding and practical hands-on experience with mathematical algorithms such as Bayesian Networks and statistical learning algorithms

Hands on technical experience with statistical analysis, visualization and data mining tools such as R (strongly preferred) or Matlab, Java programming, SQL, databases, data warehouses and OLAP tools

Strong data and statistical analysis background and experience including probability theory and statistical modeling technique; proven ability to balance theory with pragmatic problem solving skills to develop and apply advanced algorithms to real world problems and data

Proven ability to work with product managers and software engineers to translate requirements into design that can be implemented in code for both fraud detection and data visualization

Experience or interest in fraud detection, especially in the financial sector; and a passion for ensuring that algorithms and data analysis effectively solve real-world business problems

Qualities

• Strong written and oral communication skills
• Resourceful, flexible, adaptable team player
• Proven ability to work within a dynamic, rapidly changing startup environment