Applied Data Scientist – Econometrics jobs in United States
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CompStak® · 2 months ago

Applied Data Scientist – Econometrics

positionNew York, NY
timeFull-time
remoteOnsite
seniorityMid Level
money$120K/yr - $160K/yr
date3+ years exp

CompStak is a pioneer in crowdsourced commercial real estate data and analytics, seeking an Applied Data Scientist – Econometrics. This role involves applying econometric and statistical modeling to analyze trends in commercial real estate, while collaborating with various teams to develop data-driven solutions.

Big DataCommercial Real EstatePropTechReal Estate
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Work & Life Balance
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H1B Sponsor Likelynote

Responsibilities

Develop econometric and predictive models: Use quantitative methods to identify patterns, forecast trends, and interpret economic relationships in CRE markets
Build and optimize data workflows: Create and refine data ingestion and transformation pipelines for structured and unstructured commercial real estate datasets
Ensure data quality: Clean, validate, and reconcile datasets from diverse sources to ensure accuracy and reliability
Communicate insights: Translate complex quantitative analysis into clear, actionable insights for both technical and non-technical stakeholders
Stay current: Keep up with developments in econometrics, applied analytics, and trends in CRE markets and data science

Qualification

EconometricsQuantitative modelingPythonApplied statisticsData analysisStakeholder managementInterest in LLMsExperience in PropTechCommunication skillsOrganizational skills

Required

3+ years of experience in an econometrics-focused or analytical role (e.g., economics research, finance, market analysis, consulting, commercial real estate, or corporate strategy)
Strong understanding of econometrics, applied statistics, and quantitative modeling, demonstrated through academic or professional experience
Proficiency in Python and familiarity with analytical/ML libraries (pandas, NumPy, scikit-learn, XGBoost)
Experience working with large or complex datasets and using data to study market dynamics
Excellent organizational, communication, and stakeholder management skills

Preferred

Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., Hugging Face, LangChain, PyTorch/TensorFlow)
Experience working in commercial real estate, PropTech, or investment analytics

Company

CompStak®

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We believe that transparency in real estate information results in more effective deal making.
dateFounded in 2012
location
New York, New York, USA
people-size51-200 employees
web-link
http://www.compstak.com

H1B Sponsorship

CompStak® has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (1)

Funding

Current Stage
Growth Stage
Total Funding
$80.92M
Key Investors
Morgan Stanley Expansion CapitalTransamerica VenturesIA Capital Group
2021-11-11Series C· $50M
2019-07-25Series B· $2M
2019-05-15Series B· $12M

Leadership Team

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Michael Mandel
Co-Founder & CEO
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Recent News

Business Wire
KBRA Analytics’ KCP Integrates With CompStak to Deliver Credit Insight to CRE Market Participants
2025-12-17
PRLog
CompStak Launches CompStak AI: Transforming CRE Data into Intelligent, Actionable Insights
2025-12-09
PRLog
CompStak Launches Strategic Advisory to Help CRE Firms Turn Data Into Decisions
2025-10-09
Company data provided by crunchbase