Blend360 LLC

Blend360 LLC

Marketing Data Science Manager

Columbia, MD, United States

Sponsorship not specified$125k-$160kDetected 32 days ago
PythonSQLRedshiftAWSGCPAzureMachine Learningscikit-learnPandasSparkData AnalysisData EngineeringData ScienceNLPLLMsRAGAgentic AIMLOpsStatisticsEmail MarketingCommunicationCollaboration

About the role

  • Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
  • The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.
  • We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Responsibilities

  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to:
  • 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.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.
  • Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits.
  • Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end.
  • Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.

Requirements

  • 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

Nice to have

  • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker
  • Experience working in Agile environments with cross-functional teams
  • It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance.

Compensation

  • $125k-$160k

Benefits

  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Train, validate, and tune predictive models using modern machine learning techniques and tools.
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