Data Scientist - QuantumBlack Studio

QuantumBlack, AI by McKinsey; São Paulo; Presencial; BRL 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Comprehensive benefits package

Continuous learning and mentorship

Diverse projects and clients

Resumo da oferta

QuantumBlack, AI by McKinsey in São Paulo is seeking a Data Scientist to tackle critical challenges using data. You will work with diverse teams to design impactful analytics solutions that drive performance across sectors like healthcare and finance.

The ideal candidate has experience with machine learning techniques, a solid background in computer science or similar fields, and is fluent in English and Portuguese. Opportunities for mentorship and continuous learning are offered.

Qualificações

• University degree with a strong academic record; master's preferred.
• 2+ years of experience using machine learning on large datasets.
• Background in computer science, statistics, mathematics, or related fields.

Responsabilidades

• Partner with organizations to tackle critical challenges using data.
• Design impactful analytics solutions that drive performance.
• Translate complex business questions into analytical problems.

Conhecimentos

Machine learning techniques

Data mining techniques

Python

Statistical methods

Prototyping

Formação académica

Master’s in computer science, applied statistics, or related field

Ferramentas

SQL

Descrição da oferta de emprego

Who You'll Work With

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

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 Studio, 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 Studio and McKinsey networks. You’ll help shape how we define excellence in data science.

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.
• Business‑level language fluency, both verbally and in writing, in English and Portuguese.