AI-driven marketing data platform for ROI analysis and media optimization
Uncover operates a marketing intelligence platform built on Python, pandas, scikit-learn, and statsmodels—a data-science-first stack focused on statistical modeling and ML. The hiring pattern (5 data roles, 5 sales roles, 2 engineers, all senior-weighted) suggests a stage where customer discovery and model deployment are outpacing infrastructure: data and sales hiring are accelerating while core engineering headcount remains lean, indicating pressure to scale statistical capabilities and close enterprise deals faster than the platform architecture can sustain.
Uncover builds a platform that consolidates marketing data sources and deploys machine-learning models to analyze ROI, optimize media spend, and forecast campaign performance. The product is designed for marketing teams and growth leaders at mid-market companies who need to move faster than traditional analytics tools allow. Founded in 2020 and based in São Paulo, the company operates across 51–200 employees with an engineering core composed of data scientists, ML engineers, and product designers.
Python, pandas, NumPy, scikit-learn, and statsmodels for modeling; Google Sheets and Excel for data input; Synapse for data integration; Figma and Framer for design.
São Paulo, Brazil. The company was founded in 2020 and currently operates 51–200 employees.
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