Visa-posted 4 months ago
$110,000 - $155,350/Yr
Full-time • Mid Level
Hybrid • Atlanta, GA
Credit Intermediation and Related Activities

At Featurespace, we strive to be the world's best software company at protecting our clients and their customers from fraud attacks. We do that with personality, heart and professionalism, cultivating an innovative, fun and positive team atmosphere where everybody can contribute to solving our clients' problems in new, innovative ways. We are always seeking to be the best at what we do and make our customers smile. In your role as Data Scientist within the Professional Services organization, you will help us achieve our goals and deliver success on behalf of our customers by building advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time, based on retail, online and ecommerce transaction data. This is a customer-facing role that requires close collaboration with clients to understand their data and challenge.

  • Applying analytical theory to diverse real-world problems on large and dynamic datasets
  • Generating integral work products from project kickoff through to live deployment
  • Developing statistical models and algorithms for integration within Featurespace products
  • End-to-end processing and modelling of large customer data sets
  • Producing materials to feedback analytic output to customers (reports, presentations, visualizations)
  • Working collaboratively with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
  • Evaluating and improving analytical results on live systems
  • Developing an understanding of industry data structures and processes
  • Working with engineering/development teams to support and enhance the analytical infrastructure
  • Testing analytical models and their integration within the ARIC platform
  • Providing input into future data science strategy and product development
  • Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience
  • Experience in applying practical machine learning algorithms to real-world data
  • Experience in implementing statistical models and analytical algorithms in software
  • Experience using Python, Java, R or another major programming language for data analysis, machine learning or algorithm development
  • Technical and analytical skills with the ability to pick up new technologies and concepts quickly
  • Problem solving skills (especially in data-centric applications)
  • Strong, clear, concise written and verbal communication skills
  • Ability to manage and prioritise personal workload
  • Practical experience of the handling and mining of large, diverse, data sets
  • Constructive participation in system architecture/design discussions from an analytical perspective
  • A Ph.D. or other postgraduate qualification would be an advantage but is not essential
  • Experience working in a Linux command line environment
  • Experience using SQL to analyse data
  • Experience with version control software and workflows (e.g. git)
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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