Senior Data Scientist, Houzz

• Masters Degree with 5+ years of experience working within a DS role in a high-growth tech company
• Proficiency in writing complex SQL queries such as using aggregate functions and all types of joins using Hive or Presto. Strong programming skills in Python or R
• A track record of making data-driven recommendations with real business impact
• Experience with machine learning and statistical modeling with a passion for model evaluation and applications
• Proficiency in advanced experimental designing, testing, and analysis
• Strong communication, presentation and interpersonal skills
• Experience driving large cross-functional initiatives
• Self-motivated, independent, and eager to learn

Desirable

• Houzz is looking for a world-class Product Data Scientist to join our Pro 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 Product Data Scientist here at Houzz you are on the front line of uncovering insights to directly impact Houzz Pro Software
• Critical projects will focus on data-driven insights to guide product development and business direction
• Collaborate with leadership, product, data, and engineering teams to identify, define, and launch strategic and operational data science initiatives to improve Houzz Pro product offerings
• 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
• Own the end-to-end execution of projects by working with a broad cross-functional team
• 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