Location: Melbourne, Victoria, Australia. Click inside to apply.
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GLOAbout the job
As the Loyalty Program Data Scientist, you will play a pivotal role in developing and implementing data-driven strategies to enhance The Pass loyalty program. This involves analyzing customer behavior, personalizing offers, and improving the overall effectiveness of our loyalty initiatives. You will work closely with cross-functional teams—including marketing, operations, and sales—to ensure our efforts align with business objectives.
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.
Source: Australian Venue Co.
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