Senior Data Scientist - QuantumBlack Studio

McKinsey & Company, Inc.; São Paulo; Presencial; BRL 200 880 - 279 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Comprehensive benefits package

Opportunity for continuous learning

Mentorship and coaching

Resumo da oferta

McKinsey & Company, Inc. is seeking a talented professional to lead the development of AI and machine learning solutions in São Paulo. You will tackle complex challenges and collaborate globally on high-impact projects.

Candidates should hold a degree in a relevant field and possess at least 5 years of experience in data science. Proficiency in programming languages and exceptional communication skills in Portuguese and English are essential. The position offers a supportive environment focused on continuous growth and mentorship.

Qualificações

• 5+ years of experience in machine learning and statistics related work.
• Exceptional leadership and communication skills.
• Proven application of advanced analytical methods in a commercial setting.

Responsabilidades

• Lead development of AI and machine learning solutions to tackle business challenges.
• Collaborate on interdisciplinary projects with teams worldwide.
• Mentor other data scientists and shape R&D roadmap.

Conhecimentos

Programming experience in Python, R, Scala, SQL

5+ years deep technical experience in distributed computing

Client-facing skills

Strong communication skills in English and Portuguese

Exceptional time management

Formação académica

Bachelor's, Master's or PhD in computer science, machine learning, applied statistics, mathematics, engineering or AI

Ferramentas

AWS

Docker

Kubernetes

Databricks

Descrição da oferta de emprego

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You’ll lead the development of cutting‑edge AI and machine learning solutions that tackle some of the most complex business challenges across industries—delivering measurable impact at scale. You will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape QuantumBlack Studio’s R&D roadmap, and identify high‑potential machine learning initiatives for industry application. Working closely with data engineers, machine learning engineers, and designers, you will build end‑to‑end analytics solutions that create real‑world impact. Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations. You will be based in São Paulo and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you’ll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack Studio leadership, client executives, and technical experts, you will lead the development and application of cutting‑edge machine learning and AI solutions to drive measurable business impact. You’ll thrive in an unparalleled environment for growth. You’ll work on high‑impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI’s transformative potential while advancing as a technologist and leader.

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 QUALIFICATIONS AND SKILLS

• Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work
• Programming experience in languages such as: Python, R, Scala, SQL
• Proven application of advanced analytical, data science and statistical methods in the commercial world
• Knowledge of distributed computing or NoSQL technologies is a bonus
• Client‑facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open‑source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
• Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
• Willingness to travel
• Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
• Strong communication skills, both verbal and written, in English and Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.