Description

What you will do

Execute code to generate business results, code efficiency improves solution delivery • Analyze and prepare data for analysis, assembling data from standard and disparate data sources

Research new and advanced predictive modeling techniques as appropriate for a specific solution

Work with cross-functional teams to develop ideas and execute business plans

Develop solution prototypes and help integrate them with the product

Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions

Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain


What experience you need

3-5 years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena.

Strong quantitative analytical experience, including hands-on and background in using statistics, regression modeling, neural networks, decision trees, random forest, support vector machine, kernel based methods, clustering and similar methods

Bachelors Degree required in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline


What could set you apart

Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus

Education

Any Graduate