Senior Full-Stack Data Generalist

Senior data wrangler / “full-stack” data generalist with 10+ years of experience across analytics, data engineering, data platforms, data science, MLOps, applied AI, product, and business-facing data work. This individual excels at going from vague operational problems to working tools, comfortable talking to stakeholders, shaping data/product solutions, building initial versions, and making them reliable. They enjoy hands-on work including data modeling, coding, pipeline building, model training, dashboard/web app creation, infrastructure design, tool deployment, and user iteration. They prioritize practical data work, making messy inputs understandable, building useful internal tools, avoiding overengineering, and choosing the simplest effective stack. Past work includes leading analytics/optimization projects for operations-heavy businesses, developing Python/SQL data pipelines, data models, quality checks, Airflow workflows, and reliable reporting layers. They have built dashboards, data apps, and client-facing reports using various tools, trained and deployed ML models for diverse use cases (forecasting, pricing, segmentation, churn, classification, entity extraction), and built AI/LLM prototypes for workflow automation and decision support. They also have experience running cloud data platforms with Kubernetes, Terraform, GCP, and AWS. They are looking for a small or scaling team that needs a senior hands-on data generalist willing to work close to users, understand the business, build data systems, and help turn rough ideas into useful tools.