Senior Data Scientist Fraud Detection

Senior Analytic Scientist – Fraud Detection
San Diego
Salary to $160K (Based Upon Skills and Experience)
H1B Visa Candidates Considered

Send resume/questions to mary@analyticsearches.com

Fraud is everywhere!  It’s pervasive, invasive and harms customers, merchants and institutions. 

Our client is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries.

Their team is creating the science and technology behind Fraud Detection.  Be a part of this fraud team staying at the forefront of Artificial Intelligence (AI) and Machine Learning (ML).  Build something meaningful and have fun while doing it?  Use cutting edge technology to help build that next best solution.

If you are a problem solver and like the idea of solving tough problems with data and analytics in real world situations, you will thrive on this team. You will have the opportunity to work side by side with some of the brightest analytical and engineering minds in the industry who share a passion for innovation.

Job Responsibilities:

·       Work with large amounts of real-world data.

·       Ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.

·       Research and select appropriate statistical methods and computational algorithms.

·       Build and oversee teams building high-end analytic models for relevant problems using statistical modeling techniques. Manage these projects under time constraints, working with other teams within the organization to provide high quality support to enable integration and deployment of analytics software and solutions.

·       Assist with model go-lives by performing production data validations and analysis of models in production.

·       Assist with client meetings to investigate and resolve problems. 

·       Apply data mining methodology in thorough analysis of model behavior and provide support for customer meetings, model construction, pre-sales and post implementation support.

 

Qualifications:

·       MS or PhD degree in statistics, engineering, mathematics, computer science, physics, operations research field with significant years of hands-on related experience in predictive modeling and data mining.

·       Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.

·       Proven ability to lead cross functional teams on medium to large scale projects and handle client interactions requiring effective communication skills.

·       Strong scripting experience using Perl, Bash, or similar.

·       Experience working with two of the following: Java, C, C++, or Python.

·       Proven and demonstrable experience with at least three of the following: Decision Trees, Random Forests, Non-linear regression, logistic regressions, neural networks, SVM.

 

Employee Rewards:

·       High performance culture promoting recognition and professional development.

·       Competitive salary and incentives.

·       Comprehensive benefits.