Data Scientist, Product

Key Skills

Python Programming, Machine learning techniques, Data science techniques, Apache Airflow, R Programming, KPIs, ETL frameworks

Job Description

About The Role

Are you a data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let’s chat. At Realtor.com®, our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Data Scientist, Product Analytics and help change the world of real estate, one home at a time.

What you’ll do:

• Create full funnel reporting for the New Homes / New Construction business to understand consumer behavior, engagement and retention across all platforms
• Work collaboratively with marketing, product, and engineering to establish measurement best practices for experimentation and optimization.
• Partner closely with machine learning teams to determine the best way to optimize for the desired KPIs.
• Deliver product insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., Page Views, Unique Users, Impressions, etc.)
• Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external.
• Analyze test data integrations and develop hypotheses around product experiments.
• Ownership of product partnerships with sales stakeholders.

How We Work:

We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration.

What You’ll Bring:

• Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline.
• 2+ years of related experience in analytics or data science.
• Robust analytics skills and ability to work with and analyze large volumes of complex data.
• Be a subject matter expert on measurement and statistical analyses for your stakeholders.
• Strong analytical thinking and ability to make data-driven decisions using statistical methods.
• Strong SQL and either intermediate Python or R.
• Well versed in Tableau or similar BI tools.
• Highly collaborative and a team player.

Nice to have:

• Ability to create ETL pipelines using DBT + Airflow.
• Extensive documentation experience, preferably around tracking front end changes and implementation.

How we Reward you:

Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.