(Senior) Data Scientist

American Enterprise Institute; New York (NY); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Paid leave

Sick leave

Family leave

Medical coverage

Dental coverage

Health savings account

FSA

Tuition assistance

Life insurance

Disability insurance

403b retirement plan

Job summary

The Housing Center at the American Enterprise Institute (AEI) seeks a senior data scientist for an in-person role to develop and manage large datasets, derive insights, and inform US housing policy. The role involves building data infrastructure, automating data collection and maintenance, creating interactive dashboards, and leading multiple complex projects with initiative and rigor.

Master’s degree preferred, compensation commensurate with education and experience, and AEI offers

Qualifications

• Bachelor's degree in economics, finance, math, computer science, data science, or related field.
• Proficiency in Python, R, or Stata and ability to learn additional languages.
• Strong SQL skills and experience designing relational/analytical data systems.
• Experience with data visualization and geospatial tools.
• Experience using AI models to accelerate data collection and analysis.
• Knowledge of version control systems like Git/GitHub.
• Strong communication, organizational and problem-solving skills.
• Ability to work in a fast-paced, team-oriented environment.

Responsibilities

• Assemble datasets to inform analyses of housing issues.
• Develop models, algorithms, and metrics for data interpretation.
• Automate recurring analyses including data collection, cleaning, and visualization.
• Lead data projects from source to maintenance.
• Translate findings into interactive dashboards and visuals for researchers and the public.
• Examine data for trends and anomalies; present recommendations.
• Use APIs, web scraping, and computational methods to collect data.
• Experiment with emerging data methods including AI-assisted analysis.
• Senior Data Scientist: project-manage workflows; supervise analysts.
• Advanced predictive modeling and machine learning on complex datasets.
• Advise on best practices for data management and methodologies.

Skills

Python

R

Stata

SQL

Data visualization

Geospatial tools

AI models

Git/GitHub

Communication

Teamwork

Initiative

Education

Bachelor’s degree in economics/finance/math/computer science/data science

Master’s degree preferred

Tools

PostgreSQL

DuckDB

Tableau

PostGIS

QGIS

Mapbox

ggplot2

Matplotlib

AWS

Docker

Airflow

GitHub Actions

Job description

The Housing Center at the American Enterprise Institute (AEI) is the nation’s leading market-oriented housing research center. It operates at the intersection of data-driven housing knowledge and policy solutions.

The AEI Housing Center seeks a full-time, in‑person (senior) data scientist to develop and manage large datasets to derive insights and inform US housing policy. The data scientist will be responsible for maintaining the nation’s foremost housing database and designing the systems and infrastructure that produce research to improve the operation of housing markets, mortgage lending practices, and housing policy. This will include seeking, creating, cleaning, and analyzing new datasets; developing automated processes for data maintenance; and building the infrastructure for regular Housing Center updates on the housing market.

This position requires superior technical and quantitative skills, the capacity to develop additional skills, and the initiative to build new systems and processes. The ideal candidate will have a demonstrated interest in and knowledge of housing policy. Creativity, attention to detail, and the ability to independently manage multiple complex projects and deliver reliable results are essential. The anticipated start date for this position is as soon as possible.

Final title and salary will be commensurate with a candidate’s educational level and years of full‑time, applicable work experience. Master’s degree preferred. AEI offers a stimulating and harmonious work environment and excellent benefits. Applicants must submit a cover letter demonstrating their interest in housing policy and noting their quantitative and technical experience and skills, a resume, an unofficial academic transcript, and a writing sample with the online application. Candidates also will be asked to pass a skills assessment and an analytical assessment.

Responsibilities

• Assemble financial, workforce, technological, economic, statistical, and other operational datasets to inform comparative and predictive analyses of housing issues.
• Develop models, algorithms, and metrics to facilitate data interpretation and work with team members to present and operationalize data for analysis.
• Automate recurring analyses that are currently performed manually, including data collection, cleaning, reporting, and visualization.
• Lead data projects from source acquisition through technical design, quality control, publication, and ongoing maintenance.
• Translate technical findings by creating interactive dashboards and data visualizations that make Housing Center data and insights accessible to researchers and the public.
• Examine data for trends and anomalies to draw actionable conclusions; present findings and recommendations to the team.
• Use APIs, web scraping, and other computational methods to collect new data.
• Experiment with emerging methods for gathering and processing data, including AI-assisted analysis.

Additional Responsibilities (Senior Data Scientist)

• Project-manage analyst workflows and provide supervision and quality control over analyst assignments.
• Conduct advanced predictive modeling, statistical analyses, and machine learning on complex datasets.
• Establish and advise on best practices for data management, emerging methodologies, and analysis, improving the center’s analytical capabilities.

Physical Requirements and Working Conditions at AEI

• The employee is regularly expected to stand, sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard. This job requires close‑up vision for computer work.
• The employee must be able to lift up to 30 pounds.
• The employee must be able to work in a confined area.
• Moderate noise (e.g., from computers, phones, printers, and light traffic) is expected.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential responsibilities associated with this position.

Qualifications

Required:

• A bachelor’s degree in economics, finance, math, computer science, data science, or a related discipline;
• Proficiency in Python, R, or Stata and demonstrated ability to learn and work in additional analytical languages;
• Strong SQL skills and experience designing and maintaining relational and analytical data systems, using tools such as PostgreSQL, DuckDB, or comparable technologies;
• Experience with data visualization and geospatial tools, such as Tableau, PostGIS, QGIS, Mapbox, ggplot2, or Matplotlib;
• Experience using various AI models to accelerate data collection and analysis;
• Knowledge of version control systems such as Git and GitHub and other quality control protocols;
• Strong communication, organizational, and problem‑solving skills;
• The ability to work effectively in a fast‑paced, team‑oriented environment; and
• High initiative.

Preferred:

• A master’s degree in economics, finance, math, computer science, or a related discipline;
• Working experience with Stata and Microsoft Excel;
• Experience with web development, cloud‑based, and development tools, such as HTML, JavaScript, AWS, or Docker;
• Experience automating, scheduling, testing, and documenting recurring data workflows, using tools such as Airflow, GitHub Actions, or comparable systems;
• A demonstrated interest in housing and public policy research;
• Experience managing other team members’ workflows; and
• A demonstrated track record of project management on data‑management projects.

Benefits

• 18 days of paid leave (15 days of paid annual leave and 3 personal/floating holidays)
• 12 days of paid sick leave
• paid family leave
• medical and dental coverage, in addition to a health savings account
• medical and dependent care FSA
• a tuition assistance program of up to $5,200
• life and disability insurance at no cost to employees
• and a 403b retirement plan with a contribution from AEI, among other benefits.

For more information, you can see a full summary of our benefits at https://www.aei.org/jobs/benefits/.

Compensation is based on a number of factors, including the position’s scope and responsibilities; a candidate’s full‑time, applicable work experience; key skills and qualifications; and internal and external market considerations. The salary range for this full‑time, exempt position is $85,000–$120,000. Salary is just one component of AEI’s total compensation package for employees.