TL;DR
Senior Data Scientist: Analyzing complex datasets and shaping hirify.global’s growth strategy with an accent on applying advanced analytics techniques, A/B experimentation, and building compelling data stories. Focus on understanding customer behavior, improving listing coverage, and enhancing data science infrastructure.
Location: Remote. U.S. employees may live in any of the 50 United States, with limited exceptions.
Salary: $148,600.00 - $237,400.00 annually
Company
hirify.global is the most-visited real estate platform in the U.S., reimagining how people move through the real estate market and their careers.
What you will do
- Partner with Product and Engineering to develop and execute long-term customer strategies.
- Apply advanced analytics techniques (e.g., clustering, propensity modeling, causal inference) to understand customer behavior.
- Build compelling data stories and visualizations to influence decision-makers.
- Design, analyze, and interpret A/B experiments to drive product improvements.
- Identify, track, and report on business-critical metrics to measure impact.
- Collaborate with Data Scientists to enhance data science infrastructure, including ETLs, dashboards, and experimentation platforms.
Requirements
- 5+ years of experience as a data scientist working with large, complex datasets (e.g., clickstream data).
- Strong knowledge of statistical concepts, measurement methods, A/B testing, and causal inference.
- Mastery of SQL, Excel, and either Python or R.
- Experience with visualization tools such as Tableau or Databricks.
- Excellent cross-functional collaboration and communication skills (written, verbal, and visual).
- Keen understanding and experience with online products.
Nice to have
- Deep understanding of the US residential real estate market.
Culture & Benefits
- Recognized among the best workplaces in the country (FORTUNE 100, PEOPLE Companies That Care).
- Commitment to fostering an innovative, inclusive, and engaging culture.
- Employees are empowered to grow.
- Competitive base salary plus equity awards based on experience, performance, and location.
- Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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