Quantitative Data Scientist - Based in Irvine, CA

Trinity Property Consultants • Irvine, CA

6d • Onsite

About The Position

The Quantitative Data Scientist will focus on building forecasting models, scoring systems, and analytical frameworks that generate forward-looking intelligence for the business. Working under the direction of the Chief Technology Officer, this role will develop and deploy production-grade predictive models that inform key decisions across asset management, financial planning, and property operations. The Quantitative Data Scientist is responsible for translating complex data into actionable insights for both technical teams and executive stakeholders.

Requirements

• Strong quantitative mindset with the ability to design and deliver production-grade predictive models.
• Proficiency in Python and SQL with hands-on experience in time-series modeling libraries such as Prophet, statsmodels, and ARIMA/SARIMA.
• Deep familiarity with gradient boosting frameworks including XGBoost, LightGBM, or CatBoost for tabular data problems.
• Ability to communicate model outputs, assumptions, and uncertainty ranges clearly to non-technical stakeholders including CFOs and asset managers.
• Experience working in cloud-based analytics environments such as Azure, Databricks, or Microsoft Fabric.
• A collaborative, solutions-oriented approach to working across asset management, finance, and operations teams.
• Meticulous documentation habits and a commitment to model lifecycle best practices.
• Curiosity and a drive to stay current with developments in data science, machine learning, and real estate analytics.
• One to three years of experience in data science with demonstrated delivery of forecasting, classification, or regression models in production.
• Strong Python and SQL skills with experience in time-series modeling libraries (Prophet, statsmodels, ARIMA/SARIMA).
• Proficiency with gradient boosting frameworks such as XGBoost, LightGBM, or CatBoost for tabular data problems.
• Demonstrated ability to communicate model outputs and uncertainty ranges clearly to non-technical stakeholders, including CFOs and asset managers.
• Experience working in Azure, Databricks, or Microsoft Fabric environments.
• Must communicate effectively and efficiently with all levels within an organization.

Nice To Haves

• Real estate or financial services domain experience — multifamily, commercial, or investment management.
• Familiarity with Yardi or Entrata data schemas or similar property management platforms.
• Experience integrating third-party market data APIs (CoStar, Yardi Matrix, MSCI) into analytical workflows.
• Exposure to MLflow, Azure ML, or similar model lifecycle management tooling.
• Understanding of real estate finance fundamentals: NOI, cap rates, IRR, and DSCR.

Responsibilities

• Design, develop, and deploy forecasting, classification, and regression models into production environments.
• Build and maintain time-series models to support revenue forecasting, occupancy projections, and market trend analysis.
• Develop scoring systems and analytical frameworks that generate forward-looking business intelligence.
• Apply gradient boosting and other machine learning techniques to structured tabular data problems.
• Communicate model outputs, assumptions, and uncertainty ranges clearly to non-technical audiences including CFOs and asset managers.
• Write and optimize complex SQL queries to extract, transform, and analyze large datasets.
• Integrate third-party market data APIs and external data sources into analytical workflows.
• Manage model lifecycle activities including versioning, monitoring, and retraining within Azure, Databricks, or Microsoft Fabric environments.
• Collaborate with asset managers, finance, and operations teams to define analytical requirements and deliver insight-driven solutions.
• Maintain documentation of models, data pipelines, and analytical methodologies.
• Stay current with advancements in data science, machine learning, and real estate analytics to identify opportunities for innovation.

Benefits

• Medical, Dental & Vision: Highlights include company-paid individual PPO-HSA plan (with $1,200 annual employer contribution); HMO options for California residents. Dental and vision premiums are fully covered for employees; coverage for dependents is available at an additional cost.
• Retirement Plans (401K): The company matches 1/3 of the employee’s contribution up to 2% of the salary.
• Life & Disability Insurance: Up to $100,000 of life insurance and AD&D coverage, plus short- and long-term disability insurance. In addition, supplemental life for the employee, spouse, and children.
• Time Off: 11 paid holidays, 2–4 weeks of vacation based on years of service, and sick leave provided in compliance with state and local requirements.
• Referral Bonuses: $1,000 for eligible employee referrals.
• Volunteer Time Off: Up to 16 hours annually (8 for personal volunteer activities, 8 for company-sponsored events).
• Perks: Professional development, tuition reimbursement, employee discounts, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed