Senior Data Scientist: AI/ML Strategy & Executive Analytics

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

Benefits offered by this job

Health benefits

401k with profit sharing

Gilbane University training

Job summary

Gilbane Building Company seeks a Data Scientist to join the centralized Data Science Team. The role focuses on translating business questions into analytics using statistics and ML, with clear presentations to executives.

You will interact with stakeholders, implement models, and drive data-driven decisions across the business. The candidate should have a Masters in a quantitative field and 5+ years of data analytics experience, including building ML models and data pipelines.

Qualifications

• Master's degree in Statistics, Applied Math, or related field.
• 5+ years in data processing and analytics.
• 3+ years building statistical or ML models and communicating results.

Responsibilities

• Translate business questions into analytics solutions and present findings.
• Apply statistics, ML methods and predictive models to problems.
• Interact with non-technical stakeholders to explain analyses.
• Execute data science initiatives using inferential/predictive models.
• Collaborate with partners on data collection, training and support.
• Coordinate data mining with SQL, R, Python, Excel, and MicroStrategy.
• Create data visualizations and deliver client-ready insights.
• Learn and apply new techniques to scale up projects.
• Experience with analytics consulting and executive-facing deliverables desirable.

Skills

Business acumen

Data mining

Statistical analysis

Strategic thinking

Data visualization

Pattern recognition

Predictive modeling

Education

Masters in Statistics/Applied Math/CS

Tools

SAS

R

Python

SPSS

Job description

Gilbane Building Company seeks a Data Scientist to join the centralized Data Science Team. The role focuses on translating business questions into analytics using statistics and ML, with clear presentations to executives.

You will interact with stakeholders, implement models, and drive data-driven decisions across the business. The candidate should have a Masters in a quantitative field and 5+ years of data analytics experience, including building ML models and data pipelines.