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)
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 CompStaks 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:$120000 - $160000
About CompStak
Launched in 2012 weve built a network of over 30000 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. CompStaks unique data and intuitive platform is used by the worlds 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 backed by top VCs and industry players like Morgan Stanley Canaan Partners IA Capital Transamerica Moodys 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 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...
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)
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 CompStaks 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:$120000 - $160000
About CompStak
Launched in 2012 weve built a network of over 30000 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. CompStaks unique data and intuitive platform is used by the worlds 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 backed by top VCs and industry players like Morgan Stanley Canaan Partners IA Capital Transamerica Moodys 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.
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