Realtor.com® is seeking a Data Scientist to leverage data to improve the home buying experience for consumers and enhance the operational efficiency of sales and marketing teams by transforming complex data into actionable insights and developing data science models.
Requirements
- 2+ years of relevant experience as a Data Scientist, Analytics or similar role, 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).
- Experience in Marketing Analytics with familiarity on sales and revenue analytics
- 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
- Self-motivated individual with a strong growth mindset, time management, and organizational skills.
- Highly adaptable, and curious to work on complex problems.
- 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.
- Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
