Data Scientist

@ QuantumBlack, AI by McKinsey

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 provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever imagined. Your colleagues — at all levels — will invest deeply in your development while delivering exceptional client results.

What You'll Enjoy

• Continuous learning: Apprenticeship and structured programs to accelerate your growth.
• A voice that matters: Contribute innovative ideas and practical solutions.
• Global community: Work with colleagues across 65+ countries and over 100 nationalities.
• World-class benefits: Competitive salary and comprehensive benefits for holistic well-being.

Your Impact

At QuantumBlack, AI by McKinsey, you will work on real-world, high-impact projects across various industries. You will identify micro patterns in data, build impactful analytics solutions, and watch your technical contributions transform client businesses.

Your role will offer a unique blend of technology and business value, enabling you to work alongside the best design, technical, and business talent in the world. You will have the opportunity to partner with clients from data owners to C-level executives, translating business problems into analytical challenges, writing highly optimized code, and developing models that deliver measurable impact.

Technologies & Tools

You will frequently work with Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure.

Your Responsibilities

• Partner with clients to understand needs and build analytic solutions.
• Translate business problems into analytical problems and develop models.
• Write optimized code to enhance our internal Data Science Toolbox.
• Engage in R&D projects, conferences, and data science retrospectives.
• Contribute to publications and present findings at meetings.

Your Qualifications

• Bachelor's, Master's, or PhD in computer science, machine learning, statistics, mathematics, engineering, or AI.
• ~10 years of professional experience applying machine learning and data mining techniques.
• Strong programming skills in SQL and Python; familiarity with big data frameworks (e.g., PySpark) is a plus.
• Ability to prototype and deploy statistical models for data driven solutions.
• Fluency in Korean and English; willingness to travel.

Key skills/competency

• Data analysis
• Machine learning
• Python
• SQL
• Big Data
• Modeling
• Statistical analysis
• Cloud computing
• Research
• Presentation