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United States

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Data Scientist


Job ID:



Austin, TX, United States 


Big Data Analytics, Big Data Appliance Skills, Big Data Architect, Machine Learning

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Employment Type:

Full time



Job Description:

Primary Job Responsibilities are to design, develop and maintain predictive models used for risk management.
  • Design, develop and manage real-time risk/fraud models.
  • Extract and analyze very large volume of data covering a wide range of information from user profile to transaction history. Identify new fraud patterns through data mining.
  • For each modeling project, design its best structure and select the most appropriate modeling techniques which may include a combination of statistical and machine learning algorithms.
  • Analyze model performance and communicate model design and performance to senior management.
  • Work with product managers and engineers in deploying risk/fraud models to production system.
  • Manage on-going quality of the model in production system as well as model related issues.
• Collaborate with other data scientists to formulate innovative solutions to experiment and implement advanced data mining techniques and algorithms.
  • Master degree in engineering, computer science, statistics, or other related fields required. Ph.D. degree preferred.
  • 2+ years related professional experience required.
  • Good understanding of web technologies.
  • Experience with Unix as well as one major programming language such as C or Java. Proficient in a scripting language such as Python or Perl. Experience with distributed computing systems and methodologies such as Hadoop and MapReduce is highly desirable.
  • DB or data warehouse expertise desired.

Job Requirements:

• Knowledge of state-of-art data mining algorithms, with emphasis on information extraction from very large amount of data.
  • Proven experience in employing mathematical, statistical, data mining, and machine learning algorithms on real world problems
  • Excellent problem solver, analytic thinker, and quick learner
  • Proven ability to work with a team as well as work independently with minimum directions
  • A can-do attitude to carry out a project from scratch to production on a timely basis
  • A great communicator, strong project management skills, and superb attention to details.
  • MS Degree
  • 2+ years related experience

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