Senior Data Scientist - Marketing

Key Skills

Python Programming, SQL, Bayesian networks, TensorFlow, R Programming, Statistical modeling, PyMC3, Stan

Job Description

GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. With 20 million customers worldwide, GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company visit www.GoDaddy.com.

Location: Your manager is located in Tempe, AZ, but you’ll have the opportunity to work from any GoDaddy office or remotely from anywhere in the US.

As a Senior Data Scientist, Marketing you'll get to do...

• Build statistical models to explain the multi-faceted drivers behind customer behavior and measure the effectiveness of marketing initiatives
• Present model results to Marketing leadership and make recommendations on where GoDaddy should spend its next advertising dollar
• Run simulations to optimize media mix across different advertising channels and develop a framework for making tradeoff decisions across geographies and marketing objectives
• Partner with a cross-functional team of data engineers and business analysts to automate data collection and identify new signals that enhance marketing models

Your experience should include...

• Advanced degree in a quantitative field, such as Statistics, Math, Econometrics; or Bachelor’s degree with significant, practical modeling experience
• 5 years of industry experience building statistical models using messy, real-world datasets
• Experience with media mix modeling, marketing attribution, customer segmentation and time series analysis
• Excellent communication skills and ability to explain complex modeling approaches in simple terms
• Proficiency in Python and/or R and working knowledge of SQL

You might also have...

• Experience with a broad range of statistical methods, including generalized linear models and multi-level/hierarchical models
• Knowledge of Bayesian techniques and experience programming in Stan, TensorFlow Probability, or PyMC3

We've got your back...

Enjoy our many benefits (My Wallet), including paid time off, 401k, equity grants and parental leave. Join one of our employee resource groups (Culture). Continue to have a side hustle, if you have one (we love entrepreneurs, remember?). Most importantly, come as you are and make your own way.