Data Scientist

Insight Global; Burbank (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Insight Global seeks hands-on Data Scientist to join a growing analytics team supporting pricing, revenue management, marketing, customer analytics, and real estate decision-making. This role offers ownership and direct business impact in a smaller, fast-moving environment.

The ideal candidate has 5+ years of applied data science experience, practical ML modeling skills (regression, RF, XGBoost), and the ability to explain complex outputs to non-technical stakeholders while turning messy

Qualifications

• 5+ years of experience in data science, machine learning, or a similar applied quantitative role.
• Experience building and applying machine learning or statistical models to real business problems.
• Experience with traditional ML techniques such as regression, random forest, XGBoost, classification, forecasting, optimization, or similar approaches.
• Ability to explain technical concepts and model outputs to non-technical stakeholders.
• Experience working with messy or incomplete business requirements and shaping them into analytical solutions.
• Comfort working in a smaller, collaborative, fast-moving team.

Skills

Experience 5+ yrs

Applied ML modeling

ML techniques (regression, RF, XGBoost

Explain outputs to non-technical

Translate messy requirements

Collaborative teamwork

Job description

Job Description

A reputable REIT (Real Estate Investment Trust) company is looking for hands-on, applied Data Scientists to join a growing data and analytics team supporting high-impact business initiatives across pricing, revenue management, marketing, customer analytics, website conversion, and real estate decision-making. This is an opportunity to join a maturing analytics organization where Data Scientists will have meaningful ownership, direct business impact, and the ability to help shape best practices. The ideal candidate is not purely academic or theoretical. This person should be comfortable working across data preparation, modeling, analytics, automation, and stakeholder communication to deliver practical, scalable solutions.

• 5+ years of experience in data science, machine learning, advanced analytics, or a similar applied quantitative role.
• Experience building and applying machine learning or statistical models to real business problems.
• Experience with traditional ML techniques such as regression, random forest, XGBoost, classification, forecasting, optimization, or similar approaches.
• Ability to explain technical concepts and model outputs to non-technical stakeholders.
• Experience working with messy or incomplete business requirements and shaping them into analytical solutions.
• Comfort working in a smaller, collaborative, fast-moving team.