Data Scientist
2 weeks ago
One of our direct clients is urgently looking for a Data Scientist @ San Bruno, CA
TITLE: Data Scientist - Marketing/Advertising
LOCATION: San Bruno, CA
Duration: 6 to 12+ Months
Client inputs
- Marketing Mix model or media experience
- Strong Python programming
- Good statistical background
- PhD degree preferred (not must)
- Past experience with Media Analytics company is desired
- A/B testing a plus
Description:
We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc).
Responsibilities:
- Perform hands-on modeling and complex analyses using Python, SQL and/or R.
- Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes.
- Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to Marketing leadership and CMO.
- Present media mix insights to different levels of senior clients.
- Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.
- Partner with cross-functional teams to streamline data science solutions.
- Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization.
Minimum Qualifications:
- Master's degree in statistics, economics, operations research, engineering, or related field.
- 6+ years of industry experience in data science, measurement, marketing strategy & analytics.
- Strong communication skills to ‘tell a story’ that provides insight into the business.
- Proficient coding skills (SQL/Python/R) and database knowledge.
- Extensive experience with predictive modeling algorithms.
- Strong project management skills, including managing technical resources and multiple priorities & milestones.
- You have a passion for working in a fast-paced agile environment.
- A collaborative mindset and sense of curiosity.
Preferred Qualifications:
- PhD degree in Statistics, Economics, Operations Research, or related field.
- Experienced in building market mix and multi-touch attribution models.
- Experience with advertising, measurement, and/or digital marketing analytics.
- Experience with advertising technology platforms: Ad servers, DSPs, DMPs, etc.
- Advanced programming skills with experience of creating Python modules.
- Experience with A/B and Multivariate test design and implementation.
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