Key responsibilities:
Stakeholder Engagement Leadership and Strategy
- Utilise data analysis techniques to create targeted marketing strategies that cater to individual customer preferences and behaviours.
- Leverage raw datasets from multiple sources to identify patterns and trends that enhance offer effectiveness.
- Improve existing models for targeting customers based on in-venue spending redemption behaviour and other relevant metrics.
- Collaborate with the Senior Marketing Manager and Lead Loyalty Data Scientist to refine strategies and implement changes.
- Leverage the existing feature store to enhance model performance and provide actionable insights
Data Exploration Analysis and Modelling
- Proficiency in machine learning statistical modelling and data analysis techniques.
- Strong understanding of SQL Python (including libraries such as Pandas NumPy Sci-Kit Learn and PySpark).
- Experience with Apache Spark Azure Machine Learning and PowerBI dashboard creation.
- Ability to interpret and analyse large complex datasets to identify trends and drive actionable decisions.
- Excellent communication and collaborative skills for effective cross-functional teamwork.
- Adaptability in a fast-paced multi-stakeholder environment.
Key Skills & Attributes:
Technical Skills
- Proficiency in programming languages such as Python R.
- Proficiency in statistical analysis and machine learning algorithms.
- Advanced knowledge of feature engineering and dimensionality reduction techniques
- Advanced knowledge of confidence intervals and significance testing
- Understanding of CI/CD pipelines and experience with MLOps
Soft Skills
- Excellent problem-solving and analytical thinking.
- Strong communication skills with the ability to understand business needs and explain complex concepts to non-technical stakeholders.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Autonomy in planning and implementation.
- Ability to research and implement complex algorithms and techniques.
Desirable Skills
- Experience with NLP computer vision or deep learning techniques.
- Experience in deploying machine learning models to production environments.
- Familiarity with Azure cloud and MS Fabric.
Qualifications:
- Preference will be given to candidates with experience working on loyalty programs or similar initiatives along with tertiary qualifications in a STEM related field.
Key experience:
- 4 years of experience on data science problems with a Python data science stack.
- Proven track record in analysing customer behaviour and personalising offers
- Prior exposure to retail or e-commerce sectors is a plus
- Demonstrated success in collaborating with and managing relationships with diverse stakeholders.