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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.
* 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.
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Full-time
Job function
* Job function
Analyst and Business Development
* Industries
Hospitality, Data Infrastructure and Analytics, and Business Consulting and Services
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