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Incentivar Tech Stack

Data-driven incentive and engagement platform for Brazilian enterprises

IT Services and IT Consulting São Paulo, SP 51–200 employees Privately Held

Incentivar builds a data intelligence platform that helps companies design and manage employee incentive programs with predictive analytics. The tech stack—Python, scikit-learn, TensorFlow, Power BI, and React—reflects a data-science–first engineering approach, with active focus on automating data quality checks and ingestion monitoring. Hiring skews toward data roles (2 open), signaling that scaling analytics and model reliability is the immediate bottleneck.

Tech Stack 27 technologies

Core StackPython Power BI pandas NumPy scikit-learn TensorFlow GitHub HubSpot Trello Asana React Next.js TypeScript Node.js MySQL SQL SciPy StatsModels Matplotlib Seaborn Plotly Bokeh Keras Git

What Incentivar Is Building

◆Challenges

Reducing rework and inefficiencies
Avoiding data ingestion bottlenecks
Reducing data quality issues

▲Active Projects

Predictive models, reports, dashboards
Key visual development
Multiformat communication materials
Automating data quality checks
Implementing data ingestion monitoring

Hiring Activity

Steady9 roles · 3 in 30d

Department

Data

2

Support

2

Design

1

Engineering

1

Marketing

1

Seniority

Mid

5

Junior

1

Senior

1

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About Incentivar

Incentivar is a São Paulo–based platform that connects employee engagement strategy to data analytics. The product helps mid-market Brazilian enterprises build incentive programs (bonuses, loyalty rewards, sales commissions) backed by predictive models and dashboards rather than intuition. The company operates across data science, customer support, design, and marketing, with a published focus on reducing data quality friction and preventing ingestion bottlenecks as they grow.

HeadquartersSão Paulo, SP

Company Size51–200 employees

Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Incentivar use?

Python, SQL, scikit-learn, TensorFlow, Power BI, React, Next.js, Node.js, MySQL, and GitHub. Heavy emphasis on data science (pandas, NumPy, SciPy) and visualization (Plotly, Seaborn, Bokeh).

What is Incentivar working on?

Predictive models and dashboards for incentive design, key visual development, automated data quality checks, and data ingestion monitoring. Current focus is reducing ingestion bottlenecks and data quality issues.