Senior Data Scientist — AI, ML & Business Analytics

Gilbane Building Company; Tampa (FL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health and welfare benefits

Profit-sharing/401k plan

Gilbane University training

Job summary

Gilbane Building Company is seeking a Data Scientist to join the centralized Data Science Team. The role focuses on translating business questions into analytics solutions, building predictive models, and presenting insights to executives.

The candidate will work with SQL, R, Python, Excel, and MicroStrategy to deliver end-to-end analyses and data visualizations. A strong statistics background and ML experience are required.

Qualifications

• Master's degree in Statistics, Applied Math, Industrial/Research Psychology, Biostatistics, CS/IS or related field.
• 5+ years practical experience with data processing, programming and analytics.
• 3+ years practical experience building statistical or ML models and communicating results to business leaders.

Responsibilities

• Translate business questions into analytics problems and present findings to leaders.
• Develop and deploy predictive models and data visualizations for stakeholders.
• Interact with non-technical stakeholders to explain analyses and deliver insights.
• Coordinate with partners on data collection, prep, and model deployment.
• Support data mining and data pipeline development across projects.

Skills

Business acumen

Data mining

Statistical analysis

Pattern recognition

Predictive modeling

Education

Master's degree in Statistics/Applied Math/CS or related field

Tools

SQL

R

Python

SAS

Excel

MicroStrategy

Job description

Gilbane Building Company is seeking a Data Scientist to join the centralized Data Science Team. The role focuses on translating business questions into analytics solutions, building predictive models, and presenting insights to executives.

The candidate will work with SQL, R, Python, Excel, and MicroStrategy to deliver end-to-end analyses and data visualizations. A strong statistics background and ML experience are required.