Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply
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Applied Data Scientist – Econometrics
$120,000 - $160,000 / year
Posted 30+ days ago

Data Center Technician - Carrollton, TX
Posted today
Analyst II, Global Data Manager
$92,000 - $148,350 / year
Posted today

Data Intelligence Analyst
Posted today

Data Engineer (Remote)
Posted 1 day ago

Data Engineer II (Tech Lead) - AWS, Ab Initio, Databricks, Snowflake, Teradata
$126,500 - $208,700 / year
Posted 1 day ago
Data Scientist
Posted 30+ days ago

Data Center Technician
Posted 1 day ago
Data Infrastructure Engineer (Rust) - High Performance Computing
$50 - $75 / hour
Posted 30+ days ago

Data Entry
Posted 1 week ago

*Travel Data Center Fiber Optic Technician, Level II (Splicing)*
$26+ / hour
Posted 3 weeks ago

Data & AI Intern (No/Low-Code + GenAI) – Summer 2026
Posted 3 days ago

Data Scientist Skill Level 2 (FST - 070)
Posted 30+ days ago
Data Scientist
$100,000 - $135,000 / year
Posted 2 weeks ago

Timekeeping and Data Entry Specialist (Part Time)
Posted 4 days ago

Temporary Data Associate - Yang-Tan Institute – 2 openings
$70,000 - $82,000 / year
Posted 30+ days ago

Senior Data Engineer I
$134,280 - $164,120 / year
Posted 2 weeks ago
Associate Data Analyst
Posted 30+ days ago

Senior Data Analyst - Credit Risk
$91,500 - $114,375 / year
Posted 1 week ago

(USA) Staff, Data Scientist
$110,000 - $220,000 / year
Posted 1 day ago

Applied Data Scientist – Econometrics
$120,000 - $160,000 / year
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Job Description
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.
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