Data Scientist

Realtor Agent-posted 3 months ago
Full-time • Mid Level
Scottsdale, AZ
Real Estate
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Are you a data expert? Are you looking to use data to make the home buying experience a breeze for our consumers? If you want to expand your professional goals at Realtor.com®, this is the role for you. Join us as our newest Data Scientist and continue to Love Your Career at Realtor.com®.

  • 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.
  • Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
  • 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 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.
  • Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
  • Experience in Marketing Analytics with familiarity on sales and revenue analytics.
  • Experience with dashboarding tools (e.g., Tableau, Looker).
  • Exposure to real estate, marketplace, or consumer product analytics.
  • 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.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Data Scientist Resume Examples
•
Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service