Data Scientist - Real Estate Investment Analytics

GetJobSmart; Fresno (CA); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer match

Professional development opportunities

Job summary

Meridian Grove Partners in Fresno, CA is seeking a Data Scientist to join our team. This full-time role focuses on analyzing large data sets, building predictive models, and delivering data-driven insights to support investment decisions.

You will work with Python, R and SQL, perform data cleaning and visualization, mentor teammates, and contribute across the full data lifecycle from collection to deployment in a collaborative investment environment.

Qualifications

• Master's degree in Data Science, Statistics, or a related field.
• 3+ years of experience in data science or a related field.
• Proficiency in Python, R, and SQL.
• Knowledge of machine learning algorithms and data visualization tools.

Responsibilities

• Analyze large data sets to identify trends and insights
• Develop and implement predictive models to forecast market trends
• Create data visualizations to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
• Stay updated with emerging trends and technologies in data science
• Mentor junior team members on data science best practices
• Participate in the full data lifecycle, from data collection to model deployment
• Ensure data quality and integrity through rigorous validation processes

Skills

Analytical thinking

Communication

Team collaboration

Education

Master's degree in Data Science, Statistics, or related field

Bachelor's degree in Data Science, Statistics, Mathematics, or related field

Tools

Python

R

SQL

Job description

Meridian Grove Partners in Fresno, CA is seeking a Data Scientist to join our team. This full-time role focuses on analyzing large data sets, building predictive models, and delivering data-driven insights to support investment decisions.

You will work with Python, R and SQL, perform data cleaning and visualization, mentor teammates, and contribute across the full data lifecycle from collection to deployment in a collaborative investment environment.