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Marketing Mix Modeling
- Job Title
- Marketing Mix Modeling
- Job ID
- 27477460
- Duration
- Location
- Columbia, MD 21042
- Other Location
- Description
-
The ideal candidate will be eager to engage clients, drive innovation through experience, and is strong at both “doing” and collaborating with other members of the team.About the Role
- Manage and collaborate across teams - providing input into the solution architecture.
- Work with clients to develop cross channel and digital channel attribution solutions. The person will be driving from data strategy to client consulting and activation support.
- Contribute to the development of a knowledge base, build case studies, and work with new business teams to demonstrate the value of an integrated approach.
Key Prerequisite Skills
Qualified candidates should have the following skills:
- 3+ years of marketing analytics experience within a consulting, advertising, ad-tech firm, or media agency
- Experience with media data is required, with experience with platforms and customer data from either the media agency, technology, or brand side.
- Understanding of ad technologies and how they are evolving in the new media landscape and the roles of different addressable tactics – TV, CRM, mobile, search, display, etc.
- Manage, mentor and motivate direct reports across all levels to encourage their professional development while providing daily supervision and guidance
- Proven ability to manage client expectations, delivery, and provide thought leadership
- Comfortable working in a fast-paced team environment
- BS degree in quantitative field, MS preferred
Desirable Skills
- Experience in marketing mix modelling and optimization a strong plus
- Background across multiple verticals
- Working within an advertising platform such as Facebook, Google, Amazon
- Experience with one or more Data Science software languages (Python, R, SAS)
- Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural- or pipeline-approaches.
- Experience with SQL and relational databases, query authoring (SQL) and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
· Comfortable with cloud-based platforms (AWS, Azure, Google)