Data Scientist

About the Role

Houzz is looking for a world-class Data Scientist to join our Industry Solutions data science team. This team is focused on uncovering critical insights and delivering models to leverage those findings thus powering intelligent business decisions. As a Data Scientist here at Houzz you are on the front line of uncovering insights to directly impact Houzz Revenue.

What You'll Do

• Collaborate with leadership, product, data, and engineering teams to identify, define, and launch strategic and operational data science initiatives to improve growth performance
• Define key metrics (KPIs) to guide business decision-making across various aspects of our site
• Manage the key metrics of the business and product efficiently
• Design product experiments, interpret results to draw detailed and impactful conclusions, and conduct root cause analysis
• Work with data infrastructure/product engineering teams to define the data collection needs
• Provide recommendations to assist quick product ideation and feature launch decisions
• Develop and maintain data products to serve real-time business insights or to be used in production environments
• Build and maintain dashboards and reports that provide actionable insights for finance, product, and sales

At a Minimum, We'd Like You to Have

• Bachelors/Masters Degree with 2+ years of experience working within an analytical role in a high-growth tech company
• Proficiency in writing complex SQL queries such as using aggregate functions and all types of joins using Hadoop, Hive and Presto. Strong programming skills in Python or R
• Strong in problem-solving and analytical thinking to take an open business question from exploratory data analysis to actionable insights and guided execution recommendations
• Proficiency in using Tableau for visualization
• Proficiency in advanced experimental designing, testing, and analysis
• Strong communication, presentation, and interpersonal skills
• A passion for analytics and product development
• Self-motivated, independent, and eager to learn
• Ability to have fun!

Ideally, You'll Also Have

• An advanced degree in a technical field such as Statistics, Operations Research, or Engineering
• Experience with subscription-based analytics, web/app user engagement, and funnel conversion
• Ability to learn and act quickly, making decisions and drawing conclusions in the face of ambiguity
• Experience with statistical modeling
• Experience working with remote teams with a time zone difference