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Senior Data Scientist
Equifax
Atlanta, GA, United States
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Equifax empowers businesses and consumers 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.
The candidate will combine the necessary skills to create new prototypes or innovative solutions to new business problems. He or she is also displays the creativity and thoroughness to ask and answer the deepest questions . Candidates will have a strong academic background in mathematics, statistics, computer science, engineering, or other quantitative analytical discipline, have a passion for data science, data mining, and an understanding of or applied experience in using machine learning to solve novel business problems.
Responsibilities:
• Research innovative data solutions to solve real market problems using artificial intelligence and machine learning.
• Drive the creation of new machine learning models and capabilities that will leapfrog traditional bureau based modeling done at most major financial institutions leveraging a wide array of data from both traditional (credit bureaus) and non-traditional (data aggregators & other) sources.
• Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization.
• Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics.
• Develop relationships across the enterprise; have the ability to work across a matrix organization.
• 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.
• Manage data analysis to develop fact-based recommendations for innovation projects.
• Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions.
• Work with cross-functional teams to develop ideas and execute business plans.
• Remain current on new developments in data analytics, Big Data, predictive analytics, machine learning, understandable AI, and technology.
Qualifications:
• Advanced degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering etc.)
• 5-7 years experience in modeling or predictive analytics with experience working with unstructured data; PhD degree may substitute for some experience
• Candidate must be eligible for a US National Security Clearance
• Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and pattern recognition methodologies
• Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, and R, or other statistical or mathematical programming languages
• Experience designing and implementing Big Data solutions with Hadoop, Hive, and Hue.
• Experience with machine learning and distributed computing using Spark, MLib, or Scala.
• Experience in some combination of customer scoring, risk modeling, credit scoring, fraud detection, causal analysis, or pattern recognition
• Familiarity with Agile methodology
• Ability to work cross-functionally in a highly matrix driven organization, at times under ambiguous circumstances
• Experience with a range of big data architectures
• Broad understanding of real-time analytics
• Proven research background, in industry or academia, with an emphasis on delivering research that has a critical impact on multiple projects
• Provide a unique blend of skills that both unlock the insights of data and tell a fantastic story through the data
• Ability to use a hands on approach to integrate math, algorithms, and an understanding of human behavior to answer difficult ad-hoc human questions
• Ability to rapidly prototype solutions by combing background in computer science with statistics to derive insights from populations of information
• Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence
Primary Location:USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:Function - Data and Analytics
Schedule:Full time