Data Scientist - Onsite: Advanced Analytics & Impact

Inspire-Brands; Atlanta (GA); On-site; USD 95,000 - 125,000; Full time

Job summary

Inspire-Brands is seeking a Data Scientist to perform analysis of multiple data sources using statistics and computer science to drive business decisions and profitability.

The role requires onsite work 4 days per week (Monday-Thursday) and involves leading statistical analyses, designing analytical solutions, and communicating results to leadership. Minimum qualifications include a STEM degree with 2–3 years experience; advanced degrees preferred.

Qualifications

• Lead statistical analysis and build models for complex business problems.
• Analytical design for complex problem solutions leveraging business and technical expertise.
• Communicate analytical results to stakeholders and mid-level leadership.
• Evaluate the technical work of peer statistical analysts and guide deliverables.
• Contribute to code repository and improve coding practices.

Responsibilities

• Lead statistical analysis and build models for various and complex business problems.
• Lead the analytical design for complex problem solution, taking input from others.
• Lead projects with multiple statistical deliverables leveraging business and technical expertise.
• Contributes to code repository and improves the coding of others.
• Able to analyze and prepare complex and new data sources and incorporate into analytical solutions.
• Communicates results to stakeholders and mid-level leadership, able to communicate business impact of work.

Skills

Statistics

Machine learning concepts

Data mining

Data preparation

Analytical communication

Problem solving

Education

Bachelor's degree in STEM

Master's degree in STEM

PhD in STEM

Tools

Spark

Python

R

SQL

Git Version Control

AWS

Azure

GCP

Job description

Inspire-Brands is seeking a Data Scientist to perform analysis of multiple data sources using statistics and computer science to drive business decisions and profitability.

The role requires onsite work 4 days per week (Monday-Thursday) and involves leading statistical analyses, designing analytical solutions, and communicating results to leadership. Minimum qualifications include a STEM degree with 2–3 years experience; advanced degrees preferred.