Artificial Intelligence and Machine Language Data Science - Remote

Springer Capital

Ecuador
6.000 USD al año
Permanente
Tiempo parcial

Hace 1 mes

Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.The Role

Assist in developing and refining AI/ML models for business intelligence and automation.
Analyze real estate investment data and extract insights using data science tools.
Research and implement machine learning algorithms and techniques.
Support in building predictive models related to asset management.
Collaborate with other team members on AI-driven automation projects.
Document model performance, processes, and research findings.

Ideal Profile

You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or related field.
You have at least 1 year experience, ideally within a Data Scientist or IT Business Analyst / Project Manager role.
Ability to write and execute complex queries in SQL.
You have good interpersonal and communication skills and are adept at working with multiple stakeholders to drive desired outcomes.
You are a strong team player who can manage multiple stakeholders
You possess strong analytical skills and are comfortable dealing with numerical data
You are adaptable and thrive in changing environments

What's on Offer?

Opportunity within a company with a solid track record of performance
Work alongside & learn from best in class talent
Join a market leader within Real Estate

Springer Capital

Postularse