Senior Data Scientist - AI, ML & Strategic Analytics

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

Job summary

Gilbane Building Company seeks a Data Scientist to join the centralized Data Science Team. The role focuses on data analysis, AI/ML use-case development, and delivering insights to executives, with cross-functional collaboration across business units.

The candidate will translate business questions into analytical solutions, implement predictive models, and present findings with documentation for leadership.

Qualifications

• Master's degree in Statistics, Applied Math, Industrial or 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 machine learning models and communicating results to business leaders.
• Or equivalent combination of education and experience.

Responsibilities

• Translate business questions into analytics problems and deliver end-to-end analyses with documentation for leadership.
• Maintain deep understanding of statistics and ML to select appropriate models for problems.
• Interact with non-technical stakeholders to present insights and recommendations.
• Develop and deploy predictive models and data-driven solutions.
• Collaborate with business partners in a consultant capacity for needs analysis and data collection.
• Coordinate with tech partners on data mining, collection, and visualization.

Skills

Statistics

Data mining

Python

R

SQL

Data visualization

Predictive modeling

Executive communication

Education

Master's Degree in Statistics or related field

Tools

SAS

R

Python

SPSS

Excel

MicroStrategy

SQL

Job description

Gilbane Building Company seeks a Data Scientist to join the centralized Data Science Team. The role focuses on data analysis, AI/ML use-case development, and delivering insights to executives, with cross-functional collaboration across business units.

The candidate will translate business questions into analytical solutions, implement predictive models, and present findings with documentation for leadership.