Data Scientist | Advertising

Creata il 19-07-2018

Location Palo Alto, CA, US

POSIZIONE CHIUSA Candidati ora

Salva per dopo

Descrizione

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 2.1 million home design and remodeling professionals and discover products in the Houzz Shop.

About This 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, 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 lifetime value prediction, pricing optimization, marketing attribution, media mixing model, product ranking, inventory model, recommendation algorithm, user behavior forecasting and user experience personalization.

Provide data-driven insights to identify business opportunities, implement changes across marketing, product and operations teams and improve customer value and business metrics

Define key metrics, such as engagement and lifetime value tracking across our site, to guide business decisions

Design and conduct experiments, and conduct root cause analysis

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

At a Minimum, We’d Like You to Have

Advanced degree in Statistics, Computer Science, Electrical Engineering or similar fields

3+ years full-time relevant industry experience

Deep understanding of statistics and/or machine learning methods

Strong programming skills in Python, R and/or SQL

Strong communication, presentation and interpersonal skills

Independence, self-motivation and desire to learn

Ideally, You’ll Also Have

Experience with inventory prediction and/or pricing models