Niche is looking to solve the problem of making researching and enrolling in schools easy, transparent, and free by leveraging data-driven insights and storytelling.
Requirements
- Expertise in statistical modeling and forecasting, including time-series methods and causal inference techniques
- Proficient in data science tools and languages such as R, Python, and SQL (or similar) for data querying and transformation
- Experience building charts with Tableau (or other data visualization software) to be used in research reports, sales decks, and content
- Familiarity with economic and education datasets (e.g., Census, Claritas, IPEDS, Moody’s Analytics) is a strong plus
- A strong writer and communicator with ability to analyze large, complex datasets, and speak to them as sound bites for diverse audiences
- Comfortable and confident public speaker (media, presentations, conferences, etc.)
Responsibilities
- Lead Niche’s economic research efforts by producing research that blends Niche’s data with relevant government and industry data, extracting key trends impacting the K-12 and higher education space
- Build and maintain econometric models using time-series, causal inference, and machine learning techniques to forecast demographic and education trends
- Extract, analyze, and translate complex datasets into easy-to-understand insights for varied audiences that include education leaders, students, families, the media, and other key stakeholders
- Serve as Niche data spokesperson, sharing insights and commentary on market, demographic, and education trends through research reports, live and recorded media interviews, social media channels, panels and more
- Drive content innovation by shaping the roadmap for insights and writing original content on Niche.com, as well as recurring and ad-hoc reports
- Collaborate cross-functionally to develop proprietary indices, and market intelligence views for nimble, quick turnarounds, ensuring data is accurate, timely, and actionable
Other
- Degree in statistics, economics, computer science, or a related field; Master’s or PhD preferred
- 8+ years of hands-on experience in applied data science or economic research
- Full time, salaried position with competitive compensation in a fast-growing company
- Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage
- Flexible Paid Time Off Policy
