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2,264

Cientista De Dados Junior jobs in Brazil

Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company, Inc.

São Paulo
On-site
BRL 319,000 - 426,000
20 days ago
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Data Scientist Generative Ai Expert - Bp - Sp

Decision group

São Paulo
On-site
BRL 160,000 - 200,000
21 days ago

Data Scientist

DYWIDAG

São Paulo
On-site
BRL 160,000 - 200,000
21 days ago

Data Scientist Sr - Hibrido SP

Keyrus US

São Paulo
On-site
BRL 160,000 - 200,000
22 days ago

Senior Lead, Data Scientist

Kyndryl

Brazil
Hybrid
BRL 160,000 - 200,000
22 days ago
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Cientista De Dados / Ai Engineer Sr

Edenred

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

Cientista De Dados Sênior

Meta

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

Staff Data Scientist (Marketing)

RecargaPay

Brazil
Remote
BRL 20,000 - 80,000
23 days ago
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Cientista de Dados Sênior

Ipiranga

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

Cientista de Dados em IA (Growth)

Omie

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

Cientista de Dados (Web Scraping com IA e Normalização de Dados) - Português

Rhf Talents

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

Cientista de Dados

Spassu

Brasília
On-site
BRL 80,000 - 120,000
24 days ago

Senior Data Scientist (#4178)

N-iX

Brasília
Hybrid
BRL 160,000 - 200,000
25 days ago

Cientista De Dados Especialista - Banco De Talentos

Experian Group

São Paulo
Hybrid
BRL 80,000 - 120,000
26 days ago

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Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company, Inc.
São Paulo
On-site
BRL 319,000 - 426,000
Full time
21 days ago

Job summary

A leading global consulting firm is seeking a Data Scientist to tackle critical challenges using data in São Paulo. You will work closely with clients, translating business questions into analytical problems and developing impactful solutions. The ideal candidate holds a Master's degree with experience in machine learning, data mining, and proficiency in Python. This role offers continuous learning opportunities and the chance to collaborate with a diverse, global team while working on meaningful projects.

Benefits

Comprehensive benefits package
Continuous learning opportunities
Global community engagement

Qualifications

  • University degree with a strong academic record required.
  • 2+ years of experience applying machine learning to large datasets.
  • Strong background in computer science and statistics.
  • Ability to lead and drive model development independently, balancing quality and deadlines.
  • Proficiency in Python and at least one additional language (e.g., R, Scala).
  • Experience working with relational databases (SQL) and large datasets.

Responsibilities

  • Partner with organizations to tackle critical challenges using data.
  • Translate business questions into analytical problems and build models.
  • Present insights clearly to colleagues and clients.
  • Collaborate with diverse teams across various sectors.

Skills

Machine learning techniques
Data mining
Statistical methods
Python programming
Communication skills
Communication
Problem-solving

Education

Master's in computer science, applied statistics, mathematics, or related field

Tools

Python
SQL
R
Scala
Job description
Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.
Your Impact

As a Data Scientist at QuantumBlack in Brazil, you will partner with some of the world’s leading organizations to tackle their most critical challenges using data.

From data owners and end users to C-level executives, you will work closely with clients to understand their needs and design impactful analytics solutions that drive performance.

You will be a key contributor in cross‑functional problem‑solving sessions, translating complex business questions into analytical problems and building models that address them—ensuring those models are evaluated with relevant, actionable metrics.

You will help shape the development of our internal Data Science Toolbox, writing highly optimized code and supporting the delivery of innovative, scalable solutions.

You will also:

  • Present your work to colleagues and clients, communicating insights in a clear and compelling way.
  • Write and present papers at internal and external conferences (such as NeurIPS and ICML), if you choose to.
  • Join global retrospectives and R&D initiatives, learning and sharing alongside experts across QuantumBlack.
  • Collaborate with interdisciplinary teams that bring together data science, engineering, design, and business expertise.

Our projects range from accelerating clinical research to improving urban air quality or enhancing elite sport performance—always focused on creating real-world impact.

You will be based in Sao Paulo and collaborate with data scientists, engineers, machine learning specialists, designers, and product managers from around the world.

Together, you will work across sectors—such as healthcare, automotive, energy, finance, and more—to apply mathematical, statistical, and machine learning approaches to real-world data.

At QuantumBlack, your growth is continuous and personalized.

You will benefit from:

  • Diverse projects and clients, giving you international exposure and unique challenges.
  • Cutting‑edge tools and technologies, enabling you to sharpen your skills in modern data science workflows.
  • Tailored learning and mentorship, including training programs, technical deep dives, and global knowledge‑sharing.
  • Career path flexibility, with opportunities to explore new domains or geographies as you grow.

A strong sense of community, connecting with colleagues through meetups, workshops, and events across the QuantumBlack and McKinsey networks.

Here, you won’t just build solutions— you’ll help shape how we define excellence in data science. Please submit your CV in English.

Your qualifications and skills
  • University degree with a strong academic record; master’s in computer science, applied statistics, mathematics, artificial intelligence, or related field preferred.
  • 2+ years of experience applying machine learning and data mining techniques to large, real‑world datasets.
  • Strong background in computer science, engineering, statistics, mathematics, physics, or similar.
  • Ability to lead and drive model development independently, balancing quality and deadlines.
  • Proven track record in prototyping and applying advanced analytical and statistical methods.
  • Proficiency in Python and at least one additional language (e.g., R, Scala, SQL).
  • Experience working with relational databases (SQL) and large datasets.
  • Experience in the real‑world application of machine learning methods and algorithms.
  • Ability to communicate ideas most effectively, both verbally and in writing, in English and Portuguese.
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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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