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Big Data Tech Stack

Machine learning platform for demand forecasting and pricing analytics in Brazil

IT Services and IT Consulting São Paulo 11–50 employees Founded 2013 Privately Held

Big Data operates a machine learning analytics platform built on Python, scikit-learn, TensorFlow, and PyTorch, deployed via Kubernetes on AWS. The tech stack reveals a company focused on production ML rather than research—Docker, CI/CD, and AWS Lambda suggest operational maturity around model serving. Current projects (demand forecasting, recommendation systems, pricing modules) and stated pain points (platform productization, scaling, sales process improvement) indicate a mature analytics vendor trying to shift from custom consulting toward repeatable product motion.

Tech Stack 15 technologies

Core StackPython scikit-learn TensorFlow PyTorch Docker Kubernetes Apache Spark Databricks AWS AWS Lambda Git AWS EKS CI/CD

What Big Data Is Building

◆Challenges

Produtização da plataforma
Improving sales process
Expanding enterprise client base
Escalabilidade da plataforma
Reconstrução da plataforma de dados

▲Active Projects

Modelos de recomendação
Previsão de demanda
Precificação
Reconstrução da plataforma
Desenvolvimento de pipelines de dados
Oco, pricing and analytic modules
Platform reconstruction and evolution

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Data

2

Engineering

1

Sales

1

Seniority

Mid

2

Senior

2

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About Big Data

Big Data is a machine learning analytics provider serving large Brazilian enterprises since 2013. The platform delivers demand forecasting, pricing optimization, and recommendation systems to help clients extract predictive insights from their data. The company operates from São Paulo with a small, focused team spanning data engineering, ML, and sales. Active development centers on platform reconstruction and data pipeline evolution, alongside expansion of the enterprise customer base.

HeadquartersSão Paulo

Company Size11–50 employees

Founded2013

Hiring MarketsBrazil

Frequently Asked Questions

What machine learning frameworks does Big Data use?

TensorFlow and PyTorch for model development, scikit-learn for traditional ML, deployed on Kubernetes and AWS Lambda for production serving.

What is Big Data working on?

Active projects include demand forecasting models, recommendation engines, pricing optimization, data pipeline development, and a full platform reconstruction initiative.