Senior Data Scientist - QuantumBlack, AI by McKinsey

McKinsey; Jakarta Pusat; Vor Ort; IDR 2.146.691.000 - 3.577.818.000; Vollzeit

Zusammenfassung

McKinsey & Company, in collaboration with QuantumBlack, is seeking a senior data scientist to drive state-of-the-art ML research and deliver analytics solutions for global clients. You will work with data scientists, engineers and designers to solve complex problems and scale impact across industries.

You will mentor teams, contribute to R&D roadmaps, and apply deep learning, reinforcement learning, and GenAI techniques to business challenges, delivering tangible value.

Qualifikationen

• Bachelor's degree or higher in CS, ML, statistics, mathematics or engineering.
• 5+ years of deep technical experience in distributed computing, ML, and statistics.
• Proficient in Python, R, Scala, and SQL.
• Experience applying advanced analytics in commercial settings.

Aufgaben

• Lead R&D in ML and statistical methods across industries.
• Collaborate with executives to map business problems to analytics solutions.
• Mentor data scientists and collaborate with engineers and designers.

Kenntnisse

Python

R

Scala

SQL

Distributed computing

GenAI

Ausbildung

Bachelor's degree in CS/Math/Statistics

Master's or PhD preferred

Tools

Databricks

Airflow

Kedro

Docker

Kubernetes

Jobbeschreibung

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 will collaborate with QuantumBlack, AI by McKinsey and the QuantumBlack Labs team to build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale. You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs. You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members. 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.

• Solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine Learning and statistical methods
• Play a leading role in bringing the latest advances in deep learning to the world economy, collaborating with industry executives and QuantumBlack, AI by McKinsey experts to find and execute opportunities to improve business performance using data and advanced machine learning models
• Identify machine learning R&D initiatives that have high potential of applicability in industry
• Work with QuantumBlack, AI by McKinsey leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutions
• Use the latest advances in deep learning, reinforcement learning and AI to solve business problems and derive key insights across various industry sectors
• Mentor other data scientists and help them grow their knowledge and skills
• Work closely with data engineers, machine learning engineers and designers to build end‑to‑end analytics solutions for our clients that drive real impact in the real world
• Influence and help shape the R&D roadmap for QuantumBlack, AI by McKinsey, especially on deep learning
• Pperhaps most importantly, you will work in one of the most talented and diverse data science teams in the world

You will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.

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.

• 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

• Bachelor's, master's 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
• 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
• Proven application of advanced analytical, data science and statistical methods in the commercial world
• Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
• Knowledge in prompt engineering & GenAI application building (RAG, Agentic systems)
• Knowledge in Engineering standards, QA/Risk Management
• Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

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.