Senior Data Wrangler & 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. Works best close to the action, going from vague operational problems to working tools. Comfortable talking to stakeholders, shaping data/product solutions, building the first version, and making it reliable enough for others to use. Enjoys hands-on work: modeling data, writing code, building pipelines, training models, creating dashboards and web apps, designing infrastructure, deploying tools, and iterating with users. Cares about practical data work: making messy inputs understandable, building useful internal tools that improve business operations, avoiding overengineering, and choosing the simplest stack that gets the job done. Past work includes: leading analytics and optimization projects for operations-heavy businesses; developing Python/SQL data pipelines, data models, data quality checks, Airflow workflows, and reliable reporting/analytics layers; building dashboards, data apps, and client-facing reports with Superset, Tableau, Dash, Streamlit, Panel, and similar tools; training and deploying ML models for forecasting, pricing, segmentation, churn, classification, entity extraction, and related use cases; building AI/LLM prototypes for workflow automation and decision support; running cloud data platforms with Kubernetes, Terraform, GCP, and AWS. Looking for a small or scaling team that needs a senior hands-on data generalist: someone willing to work close to users, understand the business, build the data systems, and help turn rough ideas into useful tools.