Senior Data Scientist

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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...