CDW

Marketing Data Scientist – GenAI

CDW

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $84,000 - $116,800 per year

Job Level

Junior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

  • 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.
  • Partner with marketing, digital, and data engineering teams to design scalable data and AI models.
  • Integrate Generative AI into campaign intelligence, operationalizing insights through automation and visualization.
  • Optimize attribution, customer engagement, and marketing performance using tools such as Python, SQL, LangChain, VertexAI, and OpenAI APIs.
  • Build complex SQL queries to extract, transform, and analyze marketing and performance data from multiple sources.
  • Develop Python-based automation and scalable FastAPI endpoints.
  • Build Marketing Attribution Models leveraging AI-driven methods to measure and optimize ROI.
  • Design, test, and refine prompts to maximize accuracy, creativity, and reliability of LLM-based marketing analytics and automation workflows.
  • Fine-tune and evaluate large language models (e.g., GPT, LLaMA, Mistral).
  • Develop multi-agent frameworks and Retrieval-Augmented Generation (RAG) pipelines.
  • Rapidly prototype multi-agent and LLM-integrated applications using LangChain, MCP, and Fabric’s Agent Framework.
  • Design and maintain scalable data architectures across cloud technologies (AWS, Azure, GCP).

Requirements

  • 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.
  • 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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLGenerative AIAI modelsMarketing Attribution ModelsLarge Language ModelsPrompt engineeringData analyticsAutomationData architecture