Note: Client are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.
Job Description: In this role, you will :- • Join Marketing Services Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities. • Design, execute, and analyze complex business and user experiments • Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting. • Communicate key insights from analyses, experiments, and data products to stakeholders All About you :- 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.
Numbers & Facts
Location
Atlanta, GA
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Application Frameworkunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Business Analysisunmatched
Cloud Computingunmatched
Clouderaunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Scienceunmatched
Data Warehousingunmatched
Debugging Skillsunmatched
Deep Learningunmatched
Machine Learningunmatched
Marketingunmatched
Modeling Languagesunmatched
Online Marketingunmatched
Predictive Modelingunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Science Libraryunmatched
Semantic Searchunmatched
Software Developmentunmatched
Statistical Modelingunmatched
User Interface/Experience (UI/UX)unmatched
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