Data Scientist — Real Estate Analytics & ML (Onsite)

Maymont Homes; Charleston (SC); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

401(k) match

Wellness credits

PTO

Job summary

Maymont Homes in Charleston, SC is seeking a Data Scientist to leverage advanced analytics, statistical modeling, and ML to drive data-driven decisions across the organization. You will develop, validate, and deploy predictive models using Python, SQL, and Excel, with hands-on data analysis and reporting.

The ideal candidate has a Bachelor's in a quantitative field and 3+ years of data science experience, plus strong Python/SQL skills, collaboration across teams, and the ability to translate

Qualifications

• Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, CS, or related field.
• 3+ years of data science, analytics, or applied quantitative work.
• Strong Python, SQL, and Excel skills for ad hoc data requests.
• Excellent communication and collaboration with technical and business audiences.

Responsibilities

• Build predictive models in Python to address defined business problems such as pricing and occupancy.
• Deploy models into production and monitor their performance with guidance.
• Summarize findings into clear, actionable insights for business partners.
• Collaborate with Data Engineering to ensure reliable analytical datasets.

Skills

Python

SQL

Excel

Pandas

Scikit-learn

Data Visualization

Communication

Problem Solving

Education

Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, CS, Engineering, or related field

Tools

Git

AWS

Jupyter

Job description

Maymont Homes in Charleston, SC is seeking a Data Scientist to leverage advanced analytics, statistical modeling, and ML to drive data-driven decisions across the organization. You will develop, validate, and deploy predictive models using Python, SQL, and Excel, with hands-on data analysis and reporting.

The ideal candidate has a Bachelor's in a quantitative field and 3+ years of data science experience, plus strong Python/SQL skills, collaboration across teams, and the ability to translate