Marketing Data Science Manager

Columbia, MD (On-site)

$125K/yr – $160K/yrSenior Level5+ years expFull time

Posted 6 weeks ago

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Job Summary

Own end-to-end AI and data science execution for marketing optimization, from problem framing with stakeholders to production-grade models and GenAI workflows that scale in client environments.

  • Growth via ML: design, train, and deploy models and GenAI pipelines that improve acquisition, activation, and engagement.
  • Production readiness: build stateful agentic systems, RAG workflows, prompt design, and tooling that are reliable and cost-efficient.
  • Measurement and safety: develop evaluation frameworks and safety controls to monitor grounding, latency, and compliance.

Job Description

Responsibilities

  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates.
  • Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents.
  • Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency.
  • Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning.
  • Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.

Requirements

  • 5+ years of hands-on experience in Data Science, including model building and ML Ops
  • Experience in email marketing and direct marketing
  • Experience managing people
  • Proficiency in Python , SQL , and tools like Pandas , Scikit-learn , NLTK / spaCy , and Spark
  • Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems
  • Experience deploying models via APIs or integrating them into batch processing pipelines
  • Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure)
  • Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices
  • Strong communication and collaboration skills, including experience engaging directly with clients

Preferred

  • Exposure to ML Ops tools such as MLflow , Kubeflow , or SageMaker
  • Experience working in Agile environments with cross-functional teams

Benefits

  • BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families.
  • medical, dental, vision
  • 401K
  • PTO
  • paid holidays
  • commuter benefits
  • spending accounts
  • life insurance
  • disability coverage
  • EAPs

Marketing Team

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