Data Scientist at Atlanta, GA

Job Title: Senior Data Scientist

Location: Atlanta, GA

Role : Fulltime

Job Description;

• Core Data Science & Analytics
  • Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
  • Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
  • Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.
• Machine Learning & AI Engineering
  • Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
  • Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
  • Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).
• Generative AI & Agentic Systems
  • Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
  • Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
  • Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
  • Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.
• Agentic Coding & AI-Assisted Development
  • Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
  • Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.
• Business Impact & Communication
  • Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
  • Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.
• Domain & Collaboration
  • Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
  • Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.