Job Description
📋 Description Partner with leaders and clients to define problems, data sources, risks, and constraints. Translate business needs into data science solutions and trade-offs. Align on methodology, deliverables, and project roadmaps with stakeholders. Design and implement production AI solutions using LLMs, RAG, and agentic workflows. Deploy GenAI models and pipelines in production with scalable, reliable systems. Create and maintain data pipelines using SQL, Spark, and cloud-based big data tech. 🎯 Requirements 5+ years in Data Science, including model building and ML Ops. Experience in email and direct marketing. Experience managing people. Proficiency in Python, SQL, Pandas, Scikit-learn, NLTK, spaCy, Spark. Familiarity with digital marketing analytics and recommendation systems. Experience deploying models via APIs or in batch pipelines. 🎁 Benefits Medical, dental, and vision coverage 401(k) retirement plan PTO and paid holidays Commuter benefits Spending accounts Life insurance and disability coverage
