Marketing Data Scientist

Los Angeles, CA 90038

Posted: 07/24/2018 Job Category: Data Science Job Number: 98649

Role: Data Scientist- Marketing

Location: Los Angeles, CA

Pay:  Dependent on experience

As a Marketing Data Scientist you enjoy working with large sets of data, transforming them, and solving complex problems.   In this role you will help drive growth of the business through fact-based insights, data-driven analysis and optimization of the ecommerce experience. 

Responsibilities:
  • Develop, maintain, and optimize customer-data-based modeling (customer segmentation, inventory patterns, customer lifetime value, recommender, multi-touch attribution models). 
  • Build custom models to understand customer behavior, marketing analytics, inventory patterns, etc.
  • Capture e-commerce KPIs and analyze trends over time. Perform deep dive analysis into specific KPIs to understand the underlying influences. 
  • Develop an understanding and/or have knowledge of SEO best practices and its impact on traffic and other metrics
  • Partner with marketing team to identify targeted audiences digital media, on-site personalization, and one-to-one marketing (e.g., email, SMS, and direct mail) leveraging transactional data, online-browse behaviors, and 3rd parties.
  • Gather  marketing data, provided insights and build  predictive models that increase  the effectiveness of marketing campaigns and make  strategic recommendations to optimize marketing spend, business processes and maximize profitability
  • Lead business analysis of customer and business metrics. Provide guidance and frameworks for designing and developing models and analyses across multiple domains including marketing (online/offline marketing mix, multi-touch attribution, multivariate testing) and customer behavior (site traffic, purchase activity, acquisition/retention, predicting lifetime value).

The Qualifications:
  • Bachelor' s degree required in Business, Economics/Finance, Engineering, Statistics, Computer Science or related field. Masters a plus.
  • At least 5 years previous work experience (retail / e-commerce experience preferred) with strong understanding and proficiency of predictive modeling and machine learning techniques.
  • Proficiency in SQL, Excel  and at least one of the following: R, and/or Python.
  • Solid understanding of open source data mining/data visualization software packages (e.g. pandas, scikit-learn, matplotlib) a plus
  • Experience with Adobe Analytics (SiteCatalyst / Omniture), Google Analytics, Coremetrics is a plus

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