Earnings on positions in AIRTIME REWARDS
AIRTIME REWARDS is looking for employees for positions:
- becoming an expert in the relevant market/domain for your Product and to be the go-to person for knowledge
- knowing how to identify and collect the right data sources to understand customer problems and opportunities
- being an excellent communicator and storyteller who can align stakeholders of all levels to a clear strategy and roadmap
- demonstrating progress against key metrics
- managing product growth with tech debt and other BAU issues
- ensuring that PCI compliance and GDPR remain at the heart of all processes and decisions
- de-risking features through carrying out the appropriate validation with customers
- building great relationships with Engineering and operate as key, outstanding contributor to a cross functional team
- building a recommendation engine to provide the most personal and relevant retailer offers to our members
- creating forecasting models to better predict spending and app behaviour
- collaborating with cross-functional teams to develop solutions to business problems, including our Finance, Marketing, and Product Teams
- help us understand how to better serve our members through a data-led analysis of behaviour
- using a data led approach to create a segmentation model to build member-personas
- contribute to the design of our data architecture and support the integration of new datasets for analysis
- will be an advocate for data across the business, and help us to continue to build our internal and external reporting capabilities
- experience in a range of machine learning techniques with hands-on experience of applying and implementing them to solve business problems
- ability to take ownership of projects, and to drive meaningful business change
- someone used to working with large, transactional datasets, with an analytical mindset
- strong knowledge of SQL and Python, including core data science libraries, eg Scikit-Learn, SciPy, TensorFlow, PyTorch
- experience cleaning, exploring, and visualising data for stakeholders across the business
- excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders
- fluent in GCP/Azure/AWS. We use GCP, so previous experience would be beneficial