Data Scientist - Atlanta, GA
On-siteAtlanta, Georgia, United States
Job Summary
Design and deploy advanced analytics and machine learning solutions that address critical investment and operational challenges, transforming complex data into scalable, production-ready insights. Partner with business stakeholders to identify, prioritize, and deliver high-value predictive and optimization use cases. Design, build, and maintain machine learning and statistical models supporting ongoing strategies, while collaborating with engineering teams to establish infrastructure and pipelines. Develop end-to-end solutions including model development, deployment, monitoring, and continuous improvement. Leverage BI, GIS, and visualization tools to communicate insights to technical and non-technical audiences. Serve as the technical lead for AI/agentic initiatives, educating broader teams on adoption. Stay current on emerging tools and methodologies to bring relevant innovations into the organization.
Required Qualifications
- Bachelor's degree in a STEM-related field (e.g., statistics, applied math, computer science, engineering, business analytics)
- 2+ years of professional experience applying data science or advanced analytics in a business environment
- Strong foundation in statistical modeling, machine learning, clustering, classification, recommendation systems, and optimization techniques
- Proficiency in Python and SQL
- Working knowledge of cloud platforms and data ecosystems (AWS or Azure), including tools such as Databricks, EMR, RDS, and S3
- Experience working with large, complex datasets and resolving performance or memory constraints
- Solid business intuition with the ability to explain analytical approaches, tradeoffs, and outcomes clearly
- Excellent communication skills, with the ability to present insights visually and tell a compelling data-driven story
- Must be able to lift 50 lbs
Desired Qualifications
- Advanced degree
- Experience with Spark, Scala, or similar tools
- Must be available for weekend shifts
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