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Company | dentsu |
Address | California, United States |
Employment type | FULL_TIME |
Salary | |
Category | Advertising Services |
Expires | 2023-07-12 |
Posted at | 10 months ago |
Company Description
- Analyzing large data sets to extract key insights to inform marketing recommendations for optimizations
- Engineering solutions to fuel product offerings that can be adapted to a repeatable framework for the analytics and media activation teams to utilize
- Building applied machine learning models for digital marketing campaign optimization, analyzing causal inference, creating budget optimization frameworks, and designing randomized control tests
- Collaborating with data engineering, product, media activation and growth strategy teams
- Clearly articulate complex, technical results and methods from applied models to internal stakeholders across product, analytics and media activation teams
- Strong programming skills in R and Python
- Self-starter that is proactive, organized, and able to work independently as well as collaboratively
- 1-3 years of relevant data science experience or a Master’s degree in a quantitative field such as applied economics, math, or statistics
- A general understanding of various Ecommerce business models and verticals is a plus
- Experience or, understanding of the digital marketing landscape including, Paid Social, Paid Search, Programmatic, and general digital marketing strategies is a plus
- Strong MMM experience; must build the MMM from the ground up
- Ability to multi-task across simultaneous projects and deadlines, processing, and communication information action quickly to appropriate parties
- Please note: coding samples (ideally a link to coding samples) are required with resume in applications
- Strong analytical track record turning data into actionable insights and recommendations
- Working knowledge of statistical modeling and machine learning techniques
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