Associate or Director of Data Science

Position Overview

Company: Virtú Investments

Location:

Time Commitment:

Key Responsibilities

• Be instrumental in designing and implementing the company's data science platform.
• Own data‑ingestion pipelines from our data sources using Python/SQL.
• Build statistical models, dashboards, and other ad hoc analyses to drive strategy around acquisitions, dispositions, asset management, and market selection.
• Translate complex findings into concise narratives and visualizations for the Chief Investment Officer and senior leadership.
• Advanced Analytics & ML (50%) – Deploy data science techniques (e.g., forecasting models, geospatial analyses) to support evidence‑based decision making.
• Data Engineering & Governance (30%) – Design repeatable ETL pipelines from platforms like Yardi, RealPage, and CoStar, ensuring high data quality.
• Insight Delivery (20%) – Craft executive‑level presentations, self‑service BI dashboards, and memos that bridge analysis with investment actions.

Required Qualifications

• 5+ years experience in a data science role, delivering production analytics or machine learning solutions (real‑estate/finance experience is a plus).
• Fluency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL with expertise in querying and optimizing data pipelines.
• Proven ability to visualize data effectively (experience with Power BI, Tableau, Plotly, etc.) and communicate insights to both technical and non‑technical stakeholders.
• Self-starter with the ability to contribute immediately to the design of a data science platform.
• Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Engineering, or a related quantitative field (Master's degree is a plus).
• Strong written and verbal communication skills.

Preferred Qualifications

• Prior multifamily underwriting or exposure to property‑management systems (e.g., Yardi, RealPage).
• Experience with Azure DevOps or GitHub Actions for analytics workflows.
• Geospatial analysis skills, including working with location‑based data such as map layers and drive‑time polygons.
• Familiarity with vector search or LLM prompt engineering (e.g., Azure AI Search, Pinecone).

Benefits & Perks

• Compensation: Base Salary Range: $130,000 - $180,000 (commensurate with experience and skill set) plus an Annual Performance Bonus of 10-20% of base salary.
• Benefits: Full medical, dental, and 401(k) with employer match.
• Competitive compensation package with a collaborative, high-performance culture.
• Office-based role in San Diego, CA with a 5-day in-office schedule.
• Opportunities for professional growth within a rapidly expanding investment platform.