Data Scientist

About the Role

Houzz is looking for a world-class 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 Data Scientist here at Houzz you are on the front line of uncovering insights to directly impact product roadmap and revenue.

What You'll Do

• 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 influence product roadmap, set strategic directions and drive user engagement
• Define and 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

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 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

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
• Proficiency in using Tableau for visualization
• Experience working with remote teams with a time zone difference

Compensation, Benefits and Perks

• This role has an annual starting salary range of $130,000 - $150,000.
• In addition to salary, you’re eligible for competitive benefits that support you and your family as part of your total rewards package at Houzz.
• Also, depending on the role, you could be eligible for an equity award.
• Actual compensation is influenced by a wide array of factors, including, but not limited to, skills, experience, and specific work location.

Benefits and perks include:

• Flexible Paid Time Off (PTO)
• Home internet stipend
• Medical, dental, and vision benefits
• Maternity/paternity leave program
• Employee Assistance Program (EAP)
• Professional Development Reimbursement Program
• 401(k) retirement savings plans (Pre-Tax and Roth)
• Flexible Spending Accounts (FSA) - Medical & Dependent Care
• Health Savings Account (HSA) with company contribution
• Healthy at Houzz program

Equal Employment Opportunity

Houzz is an Equal Employment Opportunity employer. When applying for a role at Houzz, we guarantee your application will be considered regardless of your sex; race; color; gender; national origin; height or weight; ancestry; physical or mental disability; medical condition; genetic information; marital status; registered domestic partner status; age; sexual orientation; military and veteran status; or any other basis protected by federal, state or local law or ordinance or regulation. We embrace and celebrate the value that diversity brings to an organization. Diverse backgrounds and different