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Sr Data Scientist

Job in Stockton, Lanier County, Georgia, 31649, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Stockton

Sr Data Scientist – Alpharetta, GA (must be local).

Urgent:
Interviews this week.

Hybrid in Alpharetta, GA.

Data Scientist (LLM/GenAI)

Key Responsibilities
  • Leverage cloud platforms—particularly AWS—to build, train, and deploy machine learning and GenAI solutions.
  • Build dashboards, anomaly detection models, and predictive analytics to evaluate engineering efficiency and highlight improvement opportunities.
  • Conduct pilot experiments, analyze performance outcomes, and validate model effectiveness using data-driven evaluation frameworks.
  • Collaborate with Engineering, SRE, Platform, and Dev Ops teams to operationalize models and integrate analytics into CI/CD ecosystems.
  • Ensure new solutions comply with enterprise data governance policies, legal, privacy, and security standards.
Required Qualifications
  • 4 years of experience applying data science or machine learning in production environments.
  • Strong experience with LLM/GenAI technologies and their application to developer experience.
  • Avid cloud practitioner, with strong proficiency in AWS Sage Maker.
  • Proficiency in Python (pandas, scikit-learn), ML frameworks, and model training experience.
  • Knowledge of experimental design, A/B testing, or pilot validation frameworks.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Experience in training Modern Bert ML model.
  • Familiarity with MCP (Model Context Protocol) and related AI integration frameworks.
  • Experience with MLOps practices and model deployment pipelines.
  • Knowledge of Java or Node.js—not required but beneficial for integrating ML/GenAI into development platforms.
  • Understanding of enterprise data governance, privacy, legal and security standards.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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