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.The RoleIn 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, business challenges, and objectives, ensuring solutions are tailored to drive impactful outcomes. Responsibilities:We hire people with a willingness to adapt to a variable role, so along with the key responsibilities below, we ask for ownership of any other duties as required.Applying analytical theory to diverse real-world problems on large and dynamic datasetsGenerating integral work products from project kickoff through to live deploymentDeveloping statistical models and algorithms for integration within FeatureSpace productsEnd-to-end processing and modelling of large customer data setsProducing 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 modellingEvaluating and improving analytical results on live systemsDeveloping an understanding of industry data structures and processesWorking with engineering/development teams to support and enhance the analytical infrastructureTesting analytical models and their integration within the ARIC platformProviding input into future data science strategy and product developmentBuilding advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time, based on retail, online and ecommerce transaction data.QualitiesWe value how we go about our work, just as much as what we do, and this is reflected in our values:As a Data Scientist, you also need the following qualities:An ability to contribute to team-wide improvements while maintaining focus on personal achievement and responsibilitiesA passion to learn new skills and technologiesAttention to grammatical detail, layout and presentation This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.