
Senior Media Analytics Expert
2 weeks ago
We seek a highly skilled data scientist to spearhead media use cases, leveraging expertise in media analytics and driving marketing measurement and optimization.
The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and providing data-backed recommendations to optimize media investments.
- Key Responsibilities:
- Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
- Solve complex media optimization problems and conduct A/B testing to evaluate proposed solutions.
- Collaborate with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to drive recommendations that are aligned with the organization's strategy and OKRs, and drive performance improvement.
Requirements:
- Skills & Experience:
- 7-8 years of experience in data science/analytics with a strong focus on media measurement, marketing effectiveness, and performance optimization.
- A minimum of a bachelor's degree in computer science, data science, machine learning, mathematics, statistics, economics, 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.
- Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.
Desired Qualifications:
- Experience with classification models, time series forecasting, customer lifetime value models, large language models (LLMs), and generative AI.
- Preferably from the retail, e-commerce, or CPG industry.
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