Data Science Associate — Real Estate Analytics & AI

Cerberus Capital Management; New York (NY); On-site; USD 160,000 - 200,000; Full time

Job summary

Cerberus Operations and Advisory is seeking an Associate to expand analytic and operational capabilities across residential real estate investments. You will translate opportunities into technology, build prototypes, and collaborate with senior leaders across portfolio companies.

The role blends analytics, software development, and business communication in a fast-moving environment, with a focus on delivering measurable value and scalable solutions.

Qualifications

• 3-4 years of work experience with a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or a related quantitative field; candidates with a business, finance, or economics background and strong demonstrated technical skills are also encouraged to apply
• Experience with Python, SQL, Git, Azure, Snowflake, PowerBI, Fabric
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Strong communication skills with the ability to present findings clearly to both technical and non-technical audiences; comfortable translating ambiguous asks into structured analysis and working within a collaborative team environment
• Hands-on experience with relational databases, preferably PostgreSQL, including schema design and query optimization
• Proficiency with modern AI development tools in a professional environment - AI tools in development workflow, such as AI coding agents, AI-assisted reviews, or prompt-driven development a must
• Comfortable working in an early-stage startup environment where work can be ambiguous and mission-critical work may occasionally require effort outside typical hours

Responsibilities

• Identify and solve high-impact business problems by partnering with senior leadership to translate strategic opportunities, operational challenges, and investment ideas into actionable technology, data, and analytics solutions
• Own projects end-to-end, from problem definition and solution design to development, deployment, and adoption. Gather requirements, align stakeholders, measure outcomes, and drive initiatives to completion
• Build and validate new ideas through rapid prototyping and proof-of-concepts. Develop applications, analytical tools, AI-powered solutions, and workflows that test hypotheses, evaluate opportunities, and demonstrate business value before broader deployment
• Develop software and analytical tools across the full technology stack: frontend, backend, data pipelines, APIs, databases, automations, and supporting infrastructure
• Apply AI and automation capabilities to create leverage across the organization; contribute to agentic AI capabilities, tool calling, retrieval-augmented workflows, and LLM-powered features; ensure reliability, safety, and measurable quality
• Create leverage through automation, abstraction, and tooling; identify repetitive or inefficient processes and develop technology solutions to improve productivity
• Design and optimize data infrastructure and data models, including relational databases, data architecture, schema design, query optimization
• Analyze structured and unstructured data related to residential real estate, property management, and credit underwriting operations to uncover insights for investment decisions
• Collaborate across business and technical functions to develop practical solutions and ensure successful implementation
• Continuously expand expertise in real estate, investing, technology, data science, AI, and emerging tools; bring curiosity and learning mindset

Education

Bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or a related quantitative field

Tools

Python

SQL

Git

Azure

Snowflake

PowerBI

Fabric

AWS

Google Cloud

PostgreSQL

Job description

Cerberus Operations and Advisory is seeking an Associate to expand analytic and operational capabilities across residential real estate investments. You will translate opportunities into technology, build prototypes, and collaborate with senior leaders across portfolio companies.

The role blends analytics, software development, and business communication in a fast-moving environment, with a focus on delivering measurable value and scalable solutions.