Data Scientist | Advertising

Created on 17-05-2019

Location Palo Alto

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Description

About Houzz

Houzz is the leading home renovation and design platform in the world. We have a highly engaged community of more than 40 million unique monthly users who leverage our technologies to find inspiration for their next home project, connect with over 2.3 million home design and remodeling professionals and discover products in the Houzz Shop.

About the Role

Our Data Scientists play a direct role in the direction of our company and are able to work across multiple groups to implement fresh ideas that allow Houzz to be the industry leader.

Our mission is to provide Houzz with data-driven insights. We are working on discovering information hidden in vast amounts of data to make intelligent business decisions and to deliver better products. Critical projects will focus on the ongoing development of statistical and machine learning models across all areas of Houzz, improving experiment and measurement systems, the learning of data-driven insights to guide future product development and business direction.

If you are interested in applying your passion to create products that will transform the lives of millions of users remodeling and decorating their homes and the professionals who serve them, please apply.

What You'll Do

Build advanced statistical and machine learning models to solve problems like customer segmentation, customer lifetime value prediction, pricing optimization, user experience personalization, etc.

Provide data-driven insights to identify business opportunities, to drive changes across marketing, products and various operation teams and ultimately improve customer value and business metrics

Define key metrics to guide business decision making, such as engagement and lifetime value tracking across various aspects of our site

Design and conduct experiments and conduct root cause analysis

Work with data infrastructure and product engineering teams to define the data collection needs and to produce statistical/machine learning models

At a Minimum, We'd Like You to Have

A PhD in Statistics, Computer Science, Electrical Engineering, or similar fields; MS graduates with strong academic records and 2+ years relevant industry experience are welcome to apply

A deep understanding of statistics and machine learning methods

Strong programming skills in Python or R

Proficiency in SQL or willing to learn

Strong communication, presentation and interpersonal skills

Self-motivation, independence, and eagerness to learn

Ideally, You'll Also Have

2+ years full-time relevant industry experience