PointPredictive is growing and looking for data scientists to join the team
PointPredictive Inc. is looking for data scientists to join our rapidly growing fraud and risk analytics team in sunny San Diego California.
At PointPredictive you will work with us solving complex fraud and risk problems for the financial services industry on emerging and growing areas of fraud risk.
What our Data Scientist Do At PointPredictive
Create predictive models based on big data sets using a variety of tools and algorithms in the cloud
Innovate in fraud and risk modeling by testing new statistical modeling techniques on data to boost predictive performance
Collaborate with our customers to analyze, mine, and aggregate their data into our fraud and risk data repository
Creatively solve fraud and risk problems in auto lending, mortgage, check, mobile, and electronic payments using internal and external data sources
Evaluate new data sets to determine their ability to boost detection performance
Collaborate with Fraud Consultants and others in the company to develop and launch new, innovative predictive analytic products to the market
Deliver recommendations to clients and the industry on how to best apply advanced analytics
Join our Team in San Diego
Our offices are open plan and modern and San Diego offers the best quality of life of any city in America.
Successful candidates for the position will have a Ph.D. (or a master’s degree with statistical modeling experience) in a technical field, preferably at least 2-4 years of experience working with data in industry, facility with modern programming languages (e.g. Python) in a Linux environment, familiarity with machine learning techniques (such as neural networks, random forests, deep learning), fluency with statistical and modeling packages such as R and ADAPA, and the proven ability to quickly build and deliver production ready statistical models to clients.
Successful candidates for the position will have a Ph.D. (or a master’s degree with statistical modeling experience) in a technical field, preferably at least 2-4 years of experience working with data in industry, facility with modern programming languages (e.g. Python) in a Linux environment, familiarity with machine learning techniques (such as neural networks, random forests, deep learning), fluency with statistical and modeling packages such as R and ADAPA, and the proven ability to quickly build and deliver production ready statistical models to clients.
We move fast at PointPredictive, so if this position sounds like an attractive or potential match for you, please email your CV or profile link today to fmckenna@pointpredictive.com
