CompStak

Applied Data Scientist – Econometrics

United States

120k - 160k USD

Hybrid

Full Time

#Data

#Data Science

#Commercial Real Estate

#Python

#Machine Learning

CompStak is looking for a Applied Data Scientist – Econometrics

Full Time Senior Hybrid United States Data Data Science Commercial Real Estate Python Machine Learning English Hybrid work

120k - 160k USD per year

CompStak is a pioneer in crowdsourced commercial real estate (CRE) data and analytics. Our platform transforms raw lease, sales, and property data into actionable insights for brokers, lenders, landlords, and investors. As we expand our data products, the scale and sophistication of our data pipelines and analytical systems are critical to delivering reliable, timely, and high-quality insights to our customers.

Location: New York, NY (Hybrid- Three days per week in the office, subject to change)

We are seeking an Applied Data Scientist – Econometrics with a strong foundation in economics, econometrics, finance, or commercial real estate and an interest in applying quantitative modeling to real-world market behavior. This role is ideal for someone who understands how markets work, has experience working with data, and wants to apply (and grow) modern analytical and data science methods within a commercial real estate context.In this role, you will help shape how CompStak analyzes, models, and interprets market dynamics by combining domain expertise with econometric and quantitative techniques.

Your mission is to:

-Apply econometric and statistical modeling to analyze and forecast trends in commercial real estate and related economic drivers.

-Learn and apply modern analytical and machine learning techniques as needed to enhance insights and support CompStak’s data products.

-Build scalable workflows that integrate structured CRE datasets with new, unstructured sources to support data enrichment and automation.

-Collaborate closely with engineering, product, and data teams to develop data-driven solutions.

-Bridge domain knowledge and quantitative methods to deliver models that are accurate, interpretable, and meaningful for business decisions.

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.

Skills & Experience

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.

Bonus: Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., Hugging Face, LangChain, PyTorch/TensorFlow).

Bonus: Experience working in commercial real estate, PropTech, or investment analytics.

Total Compensation range: $120,000 - $160,000

About CompStak

Launched in 2012, we’ve built a network of over 30,000 brokers, appraisers and research professionals across the country, using a unique crowdsourced model. Our clients enjoy the foremost lease and sale transaction data combined with a robust analytics platform. CompStak’s unique data and intuitive platform is used by the world’s largest real estate investors, lenders, brokers and appraisers to compare properties, underwrite investments and loans, close deals and track market trends.

CompStak has over 100 team members in the US and overseas; and we continue to grow. We’re backed by top VCs and industry players like Morgan Stanley, Canaan Partners, IA Capital, Transamerica, Moody’s, RealPage, 500 Startups, and Daily Mail Group, and have raised over $75m to date. Our HQ is in New York City, we have regional offices in Atlanta, Chicago and Los Angeles, and we have an international office in Belgrade, Serbia.

We pride ourselves on an environment that is fun, collaborative, and rewards hard work. We look forward to the value that future employees will add to our amazing teams!

CompStak is an equal opportunity employer that celebrates employees and applicants of all identities, backgrounds, abilities, and perspectives. We foster a welcoming work environment that supports diversity and inclusion, and we reject discrimination or harassment of any individual. If you are a person with a disability and require assistance with any part of the application process, please let us know. All employment decisions are made on the basis of qualifications, merit, and business need.

CompStak

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Applied Data Scientist – Econometrics at CompStak