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Data Scientist
Equifax
Atlanta, GA, United States
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Equifax empowers businesses and consumers across the world with information they can trust. With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers. In addition, Equifax has made a commitment to being a Global Analytics Powerhouse. This means bringing best in class tools, data, environments, and experts together.
Equifax is looking for a Statistical Consultant/Data Scientist to join our world-class Global Identity and Fraud Analytics team. In this exciting role, you will have the opportunity to work on a variety of challenging projects across multiple industries including Financial Services, Telecommunications, eCommerce, Healthcare, Insurance and Government. In this position you will:
• Be challenged to solve problems others cannot
• Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems
• Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
• Research new and advanced predictive modeling techniques as appropriate for a specific solution
• Present results and recommendations to internal and external customers
• 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
Exceptional Skills and Experience:
• Ability to create new ideas for analytical solutions to address customer's business issues
• Experience with Data visualization, e.g. Tableau, Spotfire, etc…:
• Experience with H20, SparkMLib, and Graph Networks a plus
• Familiarity with programming languages such as Perl, Python, Scala (or similar scripting language) a plus
• Experience working with very large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) a plus
• Experience with state of the art machine learning algorithms such as neural networks, support vector machines, ensemble models, kernel-based methods genetic algorithms etc. preferred
• Extensive knowledge in fraud prevention or rare event prediction methods and detection tools a plus
• Experience working in UNIX environment preferred
• Understanding of IT architecture, such as Cassandra Data Structures, Kafka Topics, and Docker Image Packaging a plus
Desired Skills and Experience:
• Professional experience as a data scientist or statistical modeler in 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
• Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline
• Strong consultative acumen and ability to understand complex analytical solutions
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Professional experience with SAS, R, SPSS, MATLAB, Weka and other statistical and machine learning packages
Preferred Skills and Experience:
• 2+ years’ experience with SAS or a similar statistical tool
• PhD with experience and exposure to Advanced Analytics and Data Mining
• Proficient in SAS programming including SAS Macro
• Experience with R, SPSS, MATLAB, Weka and other packages preferred
• Strong SQL skills in Big Data environment (Hive, Impala etc.) preferred
• Familiarity with programming languages such as Perl, Python , Scala (or similar scripting language), Java, C/C++ preferred
• Experience working with very large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) preferred
• Experience with state of the art machine learning algorithms such as neural networks, support vector machines, ensemble models, kernel-based methods genetic algorithms etc. preferred
• Extensive knowledge in fraud prevention methods and detection tools a plus
• Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus
• Knowledge of optimization and design of experiments techniques a plus
• Experience working in UNIX environment preferred
• Security Clearance a plus
• SAS Certification a plus
#LI-CH1
Primary Location:USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:Function - Data and Analytics
Schedule:Full time