Atlanta, GA, US

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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 Senior Consultant you will help us achieve our goals and deliver success on behalf of our customers by providing consulting expertise to the customers on Featurespace’s advanced statistical models, machine learning, rules-based solutions and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and ecommerce transaction data.

The successful candidate will have exceptional consulting skills, understand the core concepts in machine learning/analytics, have experience working with large datasets and be knowledgeable on the financial services industry. You will be rewarded by joining a vibrant and talented team in Atlanta at an exciting time as the company continues its impressive growth.


Day to Day

  • Lead the end-to-end delivery of analytics facilitating customers and internal teams in preparation for each stage.
  • Review and lockdown project scope by understanding analytical requirements, proactively anticipating any misalignment with statements of work or scope creep.
  • Take the lead on internal and customer meetings where appropriate, handling questions confidently and pushing for key decisions from stakeholders.
  • Drive interactions with customers to understand the problems they want to solve, proposing optimal analytical solutions in scoping and design phases.
  • Educate customers on the ARIC platform and our analytic solutions.
  • Work with customers to understand the opportunities and constraints of their existing data in the context of our industry-leading analytical solutions.
  • Proactively take steps to unblock deliveries and ensure timely deliveries, including but not limited to running additional workshops, holding meetings, and aligning stakeholders (internal and external).
  • Advise and lead the customer through data readiness checks. Understand common data issues and work with customers to resolve these efficiently.
  • Lead project workshops in the analytics and data space.
  • Assist internal teams with the development and deployment of statistical models and algorithms for integration with Featurespace products.
  • Become expert in customer data structures and processes, route and translate information to internal development teams as required.
  • Produce, review and quality control materials which feedback analytic results to customers (reports, presentations, visualisations).
  • Advise customer QA teams on the best strategies for effective analytical testing and support test phases.
  • Lead customer Data Science and Analytics groups towards successful model development and deployment in the ARIC platform.
  • Evaluate the analytical results on live systems and work with customers to suggest opportunities for improvement where possible.
  • Consult with customers on opportunities to enhance and expand existing solutions.
  • Act as a trusted contact and analytics expert to Featurespace’s highest profile accounts for queries relating to their analytics.
  • Provide analytic support and consultancy services to our customers.
  • Advocate for the customer when appropriate to engineering and product functions for enhancements to the analytic and product development roadmaps.
  • Action team-wide improvements, continually providing feedback and insight to improve processes.
  • Be heavily involved in leading internal change initiatives which enable internal teams to deliver more efficiently and effectively.
  • Coach and develop team members, help with training and recruitment.

About you


Must haves

  • A degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering
  • Excellent client facing skills, able to communicate complex analytical concepts to a variety of audiences, especially in a data science context. E.g. the application of practical machine learning algorithms to real-world data
  • Ability to understand complex systems quickly
  • Strong problem-solving skills (especially in data-centric applications) with motivation to take on novel and challenging problems
  • Strong, clear, concise written and verbal communication skills
  • Experience with software engineering practices, version control and the Unix command line
  • Strong technical and analytical skills with the ability and enthusiasm to pick up new technologies and concepts quickly
  • Ability to manage and prioritise changeable workload ensuring internal and external deadlines are met
  • Experience working with customers to gather complex sets of requirements including analytical system design, data integration design and model design
  • Depth of experience in stakeholder management and managing customer expectations and common challenges
  • Knowledge of Python and familiarity with complex SQL queries
  • Industry experience in financial services, fraud and fraud strategy
  • Experience in requirements management, business analysis or consulting environment
  • Experience in delivery of enterprise software systems into large organisations either as vendor or customer
  • Knowledge of fundamental machine learning concepts (feature engineering, algorithms, model evaluation, model bias)

Great to haves

  • Experience in deploying statistical models and analytical algorithms in industry
  • Practical experience of the handling and mining of large, diverse, data sets
  • Basic knowledge of event-driven systems and distributed computing for stateful systems
  • Experience managing and developing high performing individuals
  • Experience working with model governance bodies or awareness of the issues facing governance of machine learning models in production

Personal Qualities


As an Senior Consultant, you also need the following qualities:

  • Commitment to delivering success on behalf of our customers.
  • Enthusiasm to grow and develop your career in a fast-paced company.
  • Desire to share expertise and help develop the people around you
  • Drive for continuous improvement on behalf of your team and our customers
  • Passion for teamwork in a high performance group
  • Attention to grammatical detail, layout and presentation.
Apply now