Realtor.com is looking for a Data Scientist to use data to make the home buying experience a breeze for consumers and to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
Requirements
- using SQL and Python (pandas, numpy, scipy, sk-learn).
- Sound foundations of Statistics, Machine Learning (regression, classification, clustering problems) and Experimentation (randomization, hypothesis testing, confidence intervals, etc.) and causal inference.
- Strong SQL and Python skills with ability to handle large, messy, multi-source data to deliver quick and ad hoc analyses.
- Proficient with spreadsheets to deliver adhoc reports to stakeholders.
- Experience with dashboarding tools (e.g., Tableau, Looker).
- Exposure to real estate, marketplace, or consumer product analytics.
Responsibilities
- Partner with marketing stakeholders to translate questions and business needs into data science and analytics problems and provide timely and actionable insights
- Work on interesting marketing projects such as Prospect Modeling, Cross sell and Upsell modeling, Attribution problems, Audience segmentation and optimize advertising budgets to maximize ROI.
- Design experiments and measurement strategies to assess campaign and channel effectiveness.
- Own the end to end experimentation loop by analyzing results and sharing learnings with broader sales and marketing teams
- Define critical KPIs and build key reporting deliverables and dashboards to help senior leadership understand key metrics and trends that drive operational rigor and manage performance
- Deliver ad hoc analyses and recurring requests for campaign performance, reporting, and metric deep-dives with precision, speed, and reliability.
- Contribute to the marketing data science and experimentation by implementing innovative solutions to drive efficiency in our data and modeling processes.
Other
- 2+ years of relevant experience as a Data Scientist, Analytics or similar role
- Experience collaborating cross-functionally with marketing, sales, revenue and data platform teams to conduct deep-dives and provide strategic recommendations.
- Excellent written and verbal communication skills with the ability to translate complex analyses into clear, business-focused recommendations.
- Self-motivated individual with a strong growth mindset, time management, and organizational skills. Highly adaptable, and curious to work on complex problems.
- Experience in Marketing Analytics with familiarity on sales and revenue analytics
