Featurespace aims to be the world's best software company at protecting clients and their customers from fraud attacks by building advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time.
Requirements
- 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)
- Practical experience of the handling and mining of large, diverse, data sets
- Experience working in a Linux command line environment
Responsibilities
- Building advanced statistical models and algorithms that infer and predict individual customer behaviors in real-time, based on retail, online and ecommerce transaction data.
- 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)
- Evaluating and improving analytical results on live systems
Other
- Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering or equivalent work experience
- Strong, clear, concise written and verbal communication skills
- Ability to manage and prioritise personal workload
- Constructive participation in system architecture/design discussions from an analytical perspective
- This position requires travel 5-10% of the time.
