Data Scientist

We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with cloud software/tools in GCP.

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Experience using statistical computer languages ( Python, SQL.) to manipulate data and draw insights from large data sets.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Self-starter, and unafraid of ambiguous goals, worked or have experience in a start-up like organization, where structure is continuously defined and valued Self-motivated and able to take initiative without needing a high level of supervisionExperience visualizing/presenting data for stakeholders using: Business Objects, D3, ggplot, etc.

Media and advertising experience is a Plus!

Responsibilities:

Build and deploy models that enable marketers to allocate budgets to various channels in order to drive cross-channel optimization by product and by business objectives.

Provide insights and suggestions on customer campaign optimization problems and product/platform optimization problems through statistical data analysis when needed.

Develop models that drive personalization for member interactions on owned and paid marketing channels.

Build prototypes and MVPs of services and applications that improve effectiveness of campaigns, creatives, ad networks and/or user segments.

The key goal for this person will be to apply modeling techniques relevant to media mix modeling (MMM) optimization and multi-touch attribution (MTA) to our marketing efforts to connect the impact of marketing activities on business outcomes.