Data Scientist - AI-Driven Modeling for Purchasing Power

Prog Leasing LLC; United States; Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision benefits

401(k) retirement plan

Employee Purchase Program

Career development opportunities

Job summary

Prog Leasing LLC is seeking a Data Scientist to enhance predictive models for Purchasing Power. This hybrid position requires in-office presence in Atlanta, with opportunities for relocation. Candidates should have over 2 years of experience, a master’s degree in a technical field, and proficiency in R, Python, and machine learning tools.

The role involves building decision systems, exploring new data sources, and collaborating with fellow data scientists. Comprehensive benefits and career development opportunities are included, making this a great step for your career.

Qualifications

• 2+ years of experience in a data science role.
• Experience with R, Python, machine learning tools, and SQL.
• Proficiency with AI-enabled tools; familiarity with data engineering environments.

Responsibilities

• Build, maintain, and improve decision systems and predictive models.
• Explore new data sources to derive insights.
• Design and implement in-market experiments.
• Prototype solutions using cutting-edge technologies.
• Use AI-enabled tools for analytics.
• Collaborate with data scientists on projects.

Skills

Data Science Experience

Machine Learning

R

Python

SQL

Education

Master’s degree in a quantitative or technical field

Tools

Machine Learning Tools

AI-enabled Tools

Job description

Prog Leasing LLC is seeking a Data Scientist to enhance predictive models for Purchasing Power. This hybrid position requires in-office presence in Atlanta, with opportunities for relocation. Candidates should have over 2 years of experience, a master’s degree in a technical field, and proficiency in R, Python, and machine learning tools.

The role involves building decision systems, exploring new data sources, and collaborating with fellow data scientists. Comprehensive benefits and career development opportunities are included, making this a great step for your career.