Marketing Data Scientist
5 days ago
About Starling Bank
Starling Bank is a leading digital financial institution committed to revolutionizing banking through innovative technology, transparent practices, and customer-centric values. We are a multi-award winning bank with a strong focus on sustainability and continuous improvement. Since our inception in 2014, we have amassed millions of accounts and a significant number of business customers, solidifying our position as a prominent player in the financial services landscape.
Our Culture
At Starling Bank, we foster a collaborative and empowering work environment. Our flat organizational structure encourages open communication, innovation, and individual contributions. We believe in working together to achieve shared goals and drive exceptional results.
The Role: Marketing Data Scientist
We are seeking a talented Marketing Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and marketing principles to optimize marketing campaigns, enhance customer engagement, and drive business growth.
Responsibilities- Develop sophisticated models to analyze customer behavior patterns and predict future trends.
- Design and implement A/B testing strategies to evaluate the effectiveness of marketing initiatives.
- Collaborate with marketing teams to develop data-driven insights that inform campaign strategies and resource allocation.
- Build and maintain Marketing Mix Models (MMM) to measure the impact of various marketing channels on customer acquisition and retention.
- Continuously explore new data sources and analytical techniques to enhance our understanding of customer behavior and market dynamics.
- Proven experience in applying machine learning algorithms to solve real-world marketing problems.
- Strong understanding of statistical concepts, experimental design, and causal inference techniques.
- Proficiency in programming languages such as Python or R, with expertise in data manipulation and visualization libraries.
- Excellent communication and presentation skills, with the ability to effectively convey complex data insights to both technical and non-technical audiences.
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