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  • Location

    Atlanta, Georgia

  • Job title:

    Data Scientist

  • Sector:


  • Job type:

    Direct Hire

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Data Scientist



A world leader in Adaptive Behavioral Analytics machine learning software and named a Deloitte Fast 50 tech company, provides the technology of choice for risk management.  We are looking for a Data Scientist to join this growing team.


As a Data Scientist you will be instrumental in blocking fraud in real-time – helping organizations to outsmart risk by spotting the criminals and reaching out to help when a customer’s behavior seems out of character.


The company has had consecutive years of outstanding financial and operational growth, and the team is dynamic, driven and ambitious. The company's mission is to make our technology the No.1 risk management system globally.



  • Degree-level qualification with good mathematical background and knowledge of statistics.

  • Experience of applying practical machine learning algorithms to real-world data.

  • Experience in implementing statistical models and analytical algorithms in software.


We’d love to see

  • Practical experience of the handling and mining of large, diverse, data sets.

  • Ability to understand complex systems quickly.

  • Constructive participation in system architecture/design discussions from an analytical perspective.

  • Ability to manage and prioritize personal workload.

  • 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.

  • A Ph.D. or other postgraduate qualification would be an advantage but is not essential.

  • A focus on personal achievement and responsibilities.

  • Career progression.

  • An indication of how relevant technologies have been used (not just a list).

  • Attention to grammatical detail, layout and presentation.

  • Enthusiasm.



  • Development and application of adaptive real-time analytical modelling algorithms within the platform.

  • Identify opportunities for deriving customer value from real world, large scale, data sets.

  • Map the online services and e-commerce problem space to our analytics.

  • Investigate the trade-off between algorithmic accuracy and real-time, distributed, computational constraints.

  • End-to-end processing and modelling of large customer data sets.

  • Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling.

  • Developing statistical models and algorithms for integration with our products.

  • Applying analytical theory to real world problems on large and dynamic datasets.

  • Producing materials to feedback analytic results to customers (reports, presentations, visualizations).

  • Providing input into future data science strategy and product development.

  • Working with development teams to support and enhance the analytical infrastructure.

  • Working with QA teams to advise on effective analytical testing.

  • Evaluating and improving the analytical results on live systems.

  • Developing an understanding of industry data structures and processes.




A human approach to staffing.

Our Company is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of sex, gender, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by federal, state, or local laws. The Company is dedicated to the fulfillment of this policy in regard to all aspects of employment, including but not limited to recruiting, hiring, placement, transfer, training, promotion, rates of pay, and other compensation, termination, and all other terms, conditions, and privileges of employment.