Analytics Consultant APAC
The Opportunity
Following the tremendous success of Featurespace, our team is expanding globally, and we have an exciting opportunity for an Analytics Consultant in our Singapore office.
The successful candidate will join a vibrant and growing team in the APAC region at an exciting time in their development, as the company continues it’s impressive growth.
The Analytics Consultant role is a new and exciting role on our global Delivery team that will be responsible for 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.
Day to Day
- Working with customers to understand the opportunities and constraints of their existing data in the context of our industry-leading analytical solutions
- Producing materials to feedback analytic results to customers (reports, presentations, visualisations)
- Evaluating and improving the analytical results on live systems
- Developing an understanding of data structures and processes
- Developing a deep understanding of the capabilities of the ARIC product in the analytics space
- Assisting the development of statistical models and algorithms for integration with Featurespace products
- Applying analytical theory to real world problems on large and dynamic datasets
- Providing input into future analytics strategy and product development
- Working with customer QA teams to advise on effective analytical testing and supporting test phases
About you
Please note: we are looking to accept applications from Singaporeans only for this role. We are not looking to provide any employment passes for this role at this point in time.
Must haves:
- Good degree in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering
- Great client facing skills, able to communicate complex analytical concepts to a variety of audiences, especially in a data science context
- Ability to articulate the application of practical machine learning algorithms to real-world data
- Ability to understand complex systems quickly
- Problem solving skills (especially in data-centric applications)
- Strong, clear, concise written and verbal communication skills
- Familiarity with software engineering practices, version control and the Unix command line
- Technical and analytical skills with the ability to pick up new technologies and concepts quickly
- Ability to manage and prioritise personal workload
- Constructive participation in system design discussions from an analytical perspective
Good to haves:
- A Ph.D. or other postgraduate qualification would be an advantage but is not essential
- Experience in implementing statistical models and analytical algorithms in software
- Practical experience of the handling and mining of large, diverse, data sets
- Experience in requirements management, business analysis, consulting environment is a plus
- Industry experience in fraud, fraud strategy, payments
- Technical expertise with event-driven systems, analytics/ML code implementations, Python, SQL is also advantageous
Personal Qualities
The work is often challenging and fast paced. We are looking for someone who has 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
- Attention to grammatical detail, layout and presentation
And most importantly, a small-company attitude: willingness to adapt to a variable role and a great can-do attitude.