3 дня назад
Senior Economist (Hybrid)
141 000 - 188 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Economist (Economic Research/Data Science): Conducting applied economic research, quantitative analysis, and predictive modeling for the title and real estate industries with an accent on large proprietary datasets, econometrics, and public policy analysis. Focus on developing repeatable analytical frameworks, validating complex models, and translating quantitative findings into clear recommendations for technical and non-technical stakeholders.
Location: Washington, D.C.; regular in-person work in the Washington, D.C. office multiple days per week
Salary: $141,000–$188,000 annually
Company
is a long-established company serving the title and real estate industries, with a people-first and inclusive workplace culture.
What you will do
- Conduct applied economic and quantitative research on title, real estate, industry, business, and public policy issues.
- Develop, implement, validate, and interpret economic, statistical, econometric, forecasting, and predictive models.
- Build analytical datasets, variables, metrics, and repeatable research frameworks from large and proprietary data sources.
- Apply statistical and data science methods to identify trends, risks, relationships, and emerging issues.
- Collaborate with economists, data scientists, technical teams, Government Affairs, business leaders, and other stakeholders.
- Translate complex findings into research briefs, presentations, written commentary, and clear recommendations for technical and non-technical audiences.
Requirements
- Master’s or PhD in Economics, Applied Economics, or a closely related quantitative discipline preferred; a bachelor’s degree with substantial relevant experience may also be considered.
- Typically 5 or more years of experience in economic analysis, applied research, econometrics, quantitative analytics, data science, policy analysis, or a related field.
- Experience working with large and complex datasets using SQL and statistical programming languages such as Python or R.
- Familiarity with cloud-based data and analytics platforms such as AWS, Snowflake, Databricks, or similar technologies.
- Experience developing and evaluating statistical, econometric, forecasting, or predictive models, with strong critical-thinking and analytical judgment.
- Strong written, verbal, presentation, collaboration, documentation, and project-management skills.
Nice to have
- Experience in financial services, insurance, housing, real estate, government, public policy, or another regulated or data-intensive industry.
- Interest in public policy, regulation, financial or insurance markets, housing, or real estate.
- Experience using AI-enabled analytical and productivity tools for research, coding, data exploration, and synthesis.
Culture & Benefits
- Inclusive, people-first workplace that supports individuality and collaboration.
- Medical, dental, and vision coverage based on eligibility.
- 401(k), paid time off, paid sick leave, and an employee stock purchase plan based on eligibility.
- Equal opportunity employment environment.
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