Data Scientist

Job description

As a Data Scientist , you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.

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

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