Lead Data Scientist, Marketing Mix Modeling

As a Lead Data Scientist in the Finance organization, you will deliver advanced analytical insights in support of Marketing s efforts to attract, convert, retain and grow relationships with both clients and freelancers. Your technical skills and analytical mindset, applied to the world s largest work marketplace data sets, will unlock unprecedented economic opportunities for users around the world. You will have the opportunity to create real strategic advances in how Upwork Marketing communicates with both current and future customers. Through the application of your expertise in areas such as recommender systems, predictive analytics, cluster analyses and more, you ll shape how and when we interact with our users across every Marketing touchpoint. Using your experience in Media or Marketing Mix Modeling, you will enable a deep understanding of the impact of our marketing and advertising campaigns to optimize investments across a wide range of media channels and tactics.

Your Responsibilities:

• Work with large and complex data sets to build both descriptive and predictive Media Mix Models to measure the impact of marketing efforts and optimize those programs for maximum efficiency.

• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop and execute strategies for our Marketing team.

• Define, understand, and test opportunities and levers to improve Marketing efforts, and influence roadmaps through your insights and recommendations.

• Partner with Marketing, Finance, Engineering, and cross-functional teams to inform, influence, support, and execute Marketing strategy and investment decisions.

• Tackle complex problems uniquely inherent to our global double-sided work marketplace.

What it takes to catch our eye:

• 4+ years of experience in Marketing Data Science, including in-depth experience with Media Mix Modeling, data-driven attribution, customer lifetime value prediction, and recommender systems.

• Demonstrable experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

• Experience with experimentation/causal inference methods

• Proficiency in one or multiple BI tools such as Looker, Tableau or equivalent.

• Previous experience in a marketplace or ecommerce business.