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1,527

Cientista De Dados Junior jobs in Brazil

Senior Machine Learning Engineer

Launch Potato

São Paulo
On-site
BRL 120,000 - 150,000
9 days ago
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Analista De Dados

GP Strategies Corporation

Sumaré
Remote
BRL 80,000 - 120,000
9 days ago

Senior Data Engineer

Sankhya Gestão De Negócios

Jaboatão dos Guararapes
Remote
BRL 80,000 - 120,000
9 days ago

Artificial Intelligence Consultant

Outly

Taboão da Serra
On-site
BRL 120,000 - 160,000
9 days ago

Analista Dados, Operações

Amazon

Cajamar
Hybrid
BRL 80,000 - 120,000
9 days ago
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Senior Data Engineer

Applaudo

Jaboatão dos Guararapes
On-site
BRL 80,000 - 120,000
9 days ago

Analista De Dados

GP Strategies Corporation

Cachoeirinha
Remote
BRL 80,000 - 120,000
9 days ago

Engenheiro de Dados

Framework Digital

Olinda
Hybrid
BRL 20,000 - 80,000
9 days ago
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Analista De Dados

GP Strategies Corporation

Barueri
Remote
BRL 80,000 - 120,000
9 days ago

Senior Data Platform Engineer

Bebeedataexpert

Porto Alegre
On-site
BRL 120,000 - 160,000
9 days ago

Engenheiro(A) De Dados - Treasure Data

Ivy Group S / A

Manaus
Remote
BRL 20,000 - 80,000
9 days ago

Analista de Dados Sênior | TRACK&FIELD | São Paulo

Track&Field

São Paulo
On-site
BRL 80,000 - 120,000
9 days ago

Analista De Dados

Gp Strategies Corporation

Carapicuíba
Remote
BRL 80,000 - 120,000
9 days ago

Data Engineer Sênior

iFood

Osasco
On-site
BRL 80,000 - 120,000
9 days ago

Analista de Dados & Dataviz

FCamara Consultoria

São Paulo
On-site
BRL 80,000 - 120,000
10 days ago

Data Engineer | BEES Data

AB InBev Growth Group

Brazil
Remote
BRL 120,000 - 160,000
10 days ago

Analista de Dados

Dadosfera

Brazil
Remote
BRL 80,000 - 120,000
11 days ago

Analista de Dados

Gp Strategies Corporation

Alvorada
On-site
BRL 80,000 - 120,000
11 days ago

Senior Data Engineer

Applaudo

Nova Santa Rita
On-site
BRL 80,000 - 120,000
11 days ago

Analista De Dados

GP Strategies Corporation

Contagem
Remote
BRL 80,000 - 120,000
11 days ago

Analista de Dados

Gp Strategies Corporation

Vila Velha
Remote
BRL 80,000 - 120,000
11 days ago

Analista De Dados

GP Strategies Corporation

Votorantim
Remote
BRL 80,000 - 120,000
11 days ago

Senior Data Engineer

Oowlish Technology

São Paulo
Remote
BRL 150,000 - 200,000
11 days ago

Engenheiro De Dados Gcp

HVAR

Jandira
On-site
BRL 20,000 - 80,000
11 days ago

Engenheiro de Dados - Remoto

Getronics

Alvorada
Remote
BRL 20,000 - 80,000
11 days ago

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Senior Machine Learning Engineer
Launch Potato
São Paulo
On-site
BRL 120,000 - 150,000
Full time
9 days ago

Job summary

A technology-driven company in São Paulo is looking for an experienced Machine Learning Engineer to build systems that drive significant revenue through intelligent personalization. In this hands-on role, you'll build and deploy ML models that serve over 100 million predictions daily and implement real-time personalization features. The ideal candidate has 5+ years of experience in production ML systems, strong knowledge of ranking algorithms, and proficiency in Python. This role offers a dynamic work environment focused on measurable impact.

Qualifications

  • 5+ years building production ML systems.
  • Strong experience with ranking algorithms.
  • Proficiency in Python and ML frameworks.

Responsibilities

  • Build and deploy ML models serving 100M+ predictions daily.
  • Implement real-time personalization features.
  • Run A/B tests and analyze model performance.

Skills

Machine Learning systems
Ranking algorithms
Python
ML frameworks (TensorFlow/PyTorch)
Distributed computing (Spark, Ray)

Education

BS/MS in Computer Science
Job description

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote‑first team spanning over 15 countries, we’ve built a high‑growth, high‑performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high‑performers.

YOUR ROLE

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands‑on role where you'll see direct impact on business metrics daily.

What You'll Do
  • Build and deploy ML models serving 100M+ predictions daily
  • Develop ranking algorithms that balance relevance, diversity, and revenue
  • Implement real‑time personalization features with <50ms latency requirements
  • Run A/B tests and analyze model performance against business KPIs
  • Optimize models for production (latency, throughput, cost)
  • Collaborate with product teams to identify new personalization opportunities
What We're Looking For
  • 5+ years building production ML systems
  • Strong experience with ranking algorithms (collaborative filtering, deep learning, learning‑to‑rank)
  • Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
  • Experience with distributed computing (Spark, Ray)
  • Track record of shipping models that improve business metrics
  • BS/MS in Computer Science, Machine Learning, or related field
Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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