Energy Jobline ZR
Applied Data Scientist - Real Estate in New York
Energy Jobline ZR, New York, New York, us, 10261
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We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
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 - Real Estate
with expertise in econometric modeling and commercial real estate (CRE). In this role, you will play a key part in shaping how we leverage data to deliver insights across the CRE industry.
Your mission is to:
Leverage advanced statistical modeling to analyze and predict commercial real estate analytics and market trends.
Apply modern ML/AI techniques (XGBoost, embeddings, LLMs, etc.) to extract insights, and power CompStak’s next- data products.
Build scalable pipelines that integrate structured CRE datasets with structured and unstructured sources, improving ingestion, enrichment, and automation.
Collaborate across engineering, product, and data teams to bring innovative, data-driven solutions to life.
Bridge data and domain expertise by bringing real estate/finance context into models, ensuring accuracy, interpretability, and business relevance.
Responsibilities
Create predictive models : Apply statistical and machine learning methods to identify patterns, forecast trends, and generate actionable insights in CRE markets.
Build and optimize pipelines : Develop, improve, and automate large-scale data ingestion and transformation pipelines for commercial real estate datasets.
Ensure data quality : Validate, clean, and reconcile data from diverse sources to maintain accuracy and reliability.
Communicate insights : Translate complex analyses into clear, actionable recommendations for both technical and non-technical stakeholders.
Stay ahead of trends : Keep up to date with the latest advancements in CRE industry dynamics, data science, and ML frameworks.
Skills & Experience
3+ years of experience in an economics-focused role (e.g., corporate position in technology, finance, commerce, or market analysis).
Strong understanding of economics, demonstrated through professional or academic experience.
Proficiency in Python and key ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow).
Excellent organizational, communication, and stakeholder management skills.
Bonus: Hands-on experience with LLMs, embeddings, or NLP frameworks (e.g., Hugging Face, LangChain).
Bonus: Experience working with commercial real estate investment firms or within the PropTech industry.
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 and , and we reject discrimination or harassment of any individual. If you are a person with a 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.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
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 - Real Estate
with expertise in econometric modeling and commercial real estate (CRE). In this role, you will play a key part in shaping how we leverage data to deliver insights across the CRE industry.
Your mission is to:
Leverage advanced statistical modeling to analyze and predict commercial real estate analytics and market trends.
Apply modern ML/AI techniques (XGBoost, embeddings, LLMs, etc.) to extract insights, and power CompStak’s next- data products.
Build scalable pipelines that integrate structured CRE datasets with structured and unstructured sources, improving ingestion, enrichment, and automation.
Collaborate across engineering, product, and data teams to bring innovative, data-driven solutions to life.
Bridge data and domain expertise by bringing real estate/finance context into models, ensuring accuracy, interpretability, and business relevance.
Responsibilities
Create predictive models : Apply statistical and machine learning methods to identify patterns, forecast trends, and generate actionable insights in CRE markets.
Build and optimize pipelines : Develop, improve, and automate large-scale data ingestion and transformation pipelines for commercial real estate datasets.
Ensure data quality : Validate, clean, and reconcile data from diverse sources to maintain accuracy and reliability.
Communicate insights : Translate complex analyses into clear, actionable recommendations for both technical and non-technical stakeholders.
Stay ahead of trends : Keep up to date with the latest advancements in CRE industry dynamics, data science, and ML frameworks.
Skills & Experience
3+ years of experience in an economics-focused role (e.g., corporate position in technology, finance, commerce, or market analysis).
Strong understanding of economics, demonstrated through professional or academic experience.
Proficiency in Python and key ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow).
Excellent organizational, communication, and stakeholder management skills.
Bonus: Hands-on experience with LLMs, embeddings, or NLP frameworks (e.g., Hugging Face, LangChain).
Bonus: Experience working with commercial real estate investment firms or within the PropTech industry.
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 and , and we reject discrimination or harassment of any individual. If you are a person with a 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.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr