Data Scientist

firstPRO 360; Atlanta (GA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

firstPRO 360 is seeking a Data Scientist to join a high-impact team focused on analytics and ML solutions. You will design forecasting models, deploy AI/LLM-driven solutions, and translate complex problems into scalable, production-ready data products.

Expect cross-functional collaboration with engineering, product, and client teams in a fast-paced setting. We value hands-on data work, real-world data challenges, and a flexible, trust-based hybrid work culture with strong benefits.

Qualifications

• 5+ years of experience in data science, ML, or analytics.
• Proficient in Python and Pandas for data work.
• Strong SQL skills and data wrangling abilities.

Responsibilities

• Design and optimize forecasting models.
• Develop AI/LLM-driven solutions for real-world problems.
• Collaborate with engineering, product, and client-facing teams to deliver data products.

Tools

Python

SQL

Pandas

Job description

A growing and innovative company is seeking a Data Scientist to join a high-impact team focused on building advanced analytics and machine learning solutions. In this role, you will design and optimize forecasting models, develop AI/LLM-driven solutions, and help translate complex business problems into scalable, production-ready data products. You will partner closely with engineering, product, and client-facing team. This is a hands-on role ideal for someone who enjoys working with real world data challenges in a fast-paced environment. The company offers competitive compensation, strong benefits, and a flexible, trust-based hybrid work culture.

Requirements:

• 5+ years of experience in data science, ML, or analytics
• Strong Python skills with extensive experience using Data Science (Pandas, etc.)
• Expert-level SQL abilities and experience working with complex and imperfect datasets
• Familiar with metric design and experience deploying and monitoring forecasting models
• Hands-on experience delivering data science solutions that drive business outcomes
• Ability to work cross-functionally and with non-technical stakeholders