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1 day ago
We are seeking an experienced data expert to lead media use cases with strong expertise in analytics. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-driven recommendations to optimize media investments.
- Key Responsibilities:
- Develop and implement advanced analytics models for customer value, anomaly detection, and media mix optimization.
- Solve complex media problems and conduct A/B testing to evaluate proposed solutions.
- Partner with domain experts and stakeholders to clearly understand business requirements; design and develop analytical solutions to drive recommendations that are linked to the organization's strategy.
- 7-8 years of experience in Data Science/Analytics with a strong focus on media measurement and performance optimization.
- A minimum of a bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, or other related fields with emphasis on quantitative methods and solutions.
- Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.
- Familiarity with large language models (LLMs) and generative AI is highly desirable.
As a media optimization lead, you will be responsible for developing and implementing data-driven solutions to improve media investments. This includes:
- Designing and developing advanced analytics models to optimize media campaigns.
- Conducting A/B testing to evaluate proposed solutions and measure their impact.
- Collaborating with stakeholders to identify business needs and develop solutions that meet those needs.
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