Design and deploy GenAI-driven marketing analytics: build SQL pipelines, Python automation and FastAPI endpoints, develop attribution, RAG and multi-agent LLM solutions, fine-tune/evaluate models, and operationalize insights via cloud and visualization tools to improve marketing performance.
Description
At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. As a Marketing Data Scientist (Gen AI), you will advance CDW's data-driven marketing strategy by developing AI-powered solutions that uncover insights, automate analytics, and enhance decision-making across the marketing teams. Partnering with marketing, digital, and data engineering teams, you will design scalable data and AI models, integrate Generative AI into campaign intelligence, and operationalize insights through automation and visualization. Leveraging tools such as Python, SQL, LangChain, VertexAI, and OpenAI APIs, you will optimize attribution, customer engagement, and marketing performance. This role requires a strong mix of technical depth, analytical storytelling, and innovation mindset to scale Generative AI across CDW's marketing analytics framework and drive measurable business impact.
* What you will do:
* Advanced SQL & Data Wrangling: Build complex SQL queries to extract, transform, and analyze marketing and performance data from multiple sources.
* Python Automation & APIs: Develop Python-based automation and scalable FastAPI endpoints to detect anomalies, trends, and performance shifts in key metrics.
* Marketing Analytics: Build Marketing Attribution Models, leveraging AI-driven methods to measure and optimize ROI.
* Generative AI Development: Build GenAI solutions for summarization, search, and data synthesis using LangChain, VertexAI, Hugging Face, OpenAI APIs, and MCP (Model Context Protocol) and MS Fabric Agents.
* Prompt Engineering & Optimization: Design, test, and refine prompts to maximize the accuracy, creativity, and reliability of LLM-based marketing analytics and automation workflows.
* LLM Fine-Tuning & Evaluation: Fine-tune and evaluate large language models (e.g., GPT, LLaMA, Mistral) using automated evaluation pipelines, human feedback, and LLM-as-a-judge approaches.
* AI Agents & RAG Systems: Develop multi-agent frameworks and Retrieval-Augmented Generation (RAG) pipelines using interoperable standards such as MCP, enabling scalable analytics and decision workflows.
* Prototyping & Model Innovation: Rapidly prototype multi-agent and LLM-integrated applications using LangChain, MCP, and Fabric's Agent Framework, enabling scalable and explainable marketing intelligence solutions.
* Cloud & Data Architecture: Design and maintain scalable data architectures across cloud technologies like AWS, Azure, and GCP, ensuring security, compliance, and performance for AI workloads.
* Continuous Research & Collaboration: Stay at the forefront of GenAI innovation, partner with marketing and engineering teams, and drive adoption of emerging foundation models and AI tools across CDW.
* What we expect of you:
* Bachelor's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and 1+ years of experience in marketing analytics, data science, or AI automation. OR
* Master's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and a previous internship.
* Strong skills in SQL and Python for analytics and automation.
* Experience with Generative AI tools (LangChain, VertexAI, OpenAI, Hugging Face, MCP).
* Knowledge of LLMs, prompt engineering, and evaluation techniques.
* Familiarity with Adobe Analytics, GA4, Power BI, and Tag Management tools.
* Exposure to cloud platforms (AWS, Azure, or GCP).
* Strong communication, storytelling, and innovation mindset. Pay range: $84,000 - $116,800 depending on experience and skill set Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials
* We make technology work so people can do great things.
* CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law. CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW's goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review [CDW's AI Applicant Notice](https://www.cdwjobs.com/pages/ai-applicant-notice).
At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. As a Marketing Data Scientist (Gen AI), you will advance CDW's data-driven marketing strategy by developing AI-powered solutions that uncover insights, automate analytics, and enhance decision-making across the marketing teams. Partnering with marketing, digital, and data engineering teams, you will design scalable data and AI models, integrate Generative AI into campaign intelligence, and operationalize insights through automation and visualization. Leveraging tools such as Python, SQL, LangChain, VertexAI, and OpenAI APIs, you will optimize attribution, customer engagement, and marketing performance. This role requires a strong mix of technical depth, analytical storytelling, and innovation mindset to scale Generative AI across CDW's marketing analytics framework and drive measurable business impact.
* What you will do:
* Advanced SQL & Data Wrangling: Build complex SQL queries to extract, transform, and analyze marketing and performance data from multiple sources.
* Python Automation & APIs: Develop Python-based automation and scalable FastAPI endpoints to detect anomalies, trends, and performance shifts in key metrics.
* Marketing Analytics: Build Marketing Attribution Models, leveraging AI-driven methods to measure and optimize ROI.
* Generative AI Development: Build GenAI solutions for summarization, search, and data synthesis using LangChain, VertexAI, Hugging Face, OpenAI APIs, and MCP (Model Context Protocol) and MS Fabric Agents.
* Prompt Engineering & Optimization: Design, test, and refine prompts to maximize the accuracy, creativity, and reliability of LLM-based marketing analytics and automation workflows.
* LLM Fine-Tuning & Evaluation: Fine-tune and evaluate large language models (e.g., GPT, LLaMA, Mistral) using automated evaluation pipelines, human feedback, and LLM-as-a-judge approaches.
* AI Agents & RAG Systems: Develop multi-agent frameworks and Retrieval-Augmented Generation (RAG) pipelines using interoperable standards such as MCP, enabling scalable analytics and decision workflows.
* Prototyping & Model Innovation: Rapidly prototype multi-agent and LLM-integrated applications using LangChain, MCP, and Fabric's Agent Framework, enabling scalable and explainable marketing intelligence solutions.
* Cloud & Data Architecture: Design and maintain scalable data architectures across cloud technologies like AWS, Azure, and GCP, ensuring security, compliance, and performance for AI workloads.
* Continuous Research & Collaboration: Stay at the forefront of GenAI innovation, partner with marketing and engineering teams, and drive adoption of emerging foundation models and AI tools across CDW.
* What we expect of you:
* Bachelor's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and 1+ years of experience in marketing analytics, data science, or AI automation. OR
* Master's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and a previous internship.
* Strong skills in SQL and Python for analytics and automation.
* Experience with Generative AI tools (LangChain, VertexAI, OpenAI, Hugging Face, MCP).
* Knowledge of LLMs, prompt engineering, and evaluation techniques.
* Familiarity with Adobe Analytics, GA4, Power BI, and Tag Management tools.
* Exposure to cloud platforms (AWS, Azure, or GCP).
* Strong communication, storytelling, and innovation mindset. Pay range: $84,000 - $116,800 depending on experience and skill set Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials
* We make technology work so people can do great things.
* CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law. CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW's goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review [CDW's AI Applicant Notice](https://www.cdwjobs.com/pages/ai-applicant-notice).
Top Skills
Adobe Analytics
AWS
Azure
Fastapi
Ga4
GCP
Gpt
Hugging Face
Langchain
Llama
Mcp (Model Context Protocol)
Mistral
Ms Fabric Agents
Openai Apis
Power BI
Python
Rag
SQL
Tag Management
Vertexai
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