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Expert Data Scientist

McKinsey & Company

McKinsey & Company

Data Science
Seoul, South Korea
Posted on Tuesday, February 13, 2024
Analytics

Expert Data Scientist

  • Seoul

Who You'll Work With

You will be based in Seoul and will be part of the QuantumBlack team.
You will work with other integrative consultants, 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.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.

What You'll Do

As an Expert Data Scientist at QuantumBlack you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally.
In this role, you will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems. You will develop data science products and solutions by writing highly optimized code to advance our internal Data Science Toolbox for clients, as well as for our data science team.
You will work through our clients’ entire data ecosystem to understand what’s available, what’s missing, and where to find and collect that information.
This includes applying data science methods to improve and optimize our clients’ performance needs, capture meaningful insights from data and turn them into competitive advantages. In addition, you will drive the creation of statistical models to solve specific operational problems, which may include predicting equipment failure to do proactive maintenance for wind turbines, determining how to use machine learning to predict consumer behaviour, etc. You will also work with specialists in machine learning, engineering and design and add real-world impact to your academic expertise.
Please submit your CV in English.
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.

Qualifications

  • Master's degree or PhD level in a relevant field such as computer science, machine learning, applied statistics, mathematics
  • 10+ 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 plus
  • Thought leadership or people leadership experience (e.g. managed project teams or direct reports)
  • Proven application of advanced analytical, data science and statistical methods in the commercial world
  • Client-facing skills (e.g. working in close-knit teams on topics such as data warehousing, machine learning)
  • Good presentation and communication skills with a knack for explaining complex analytical concepts to people from other fields
  • Strong command of both the English and Korean language
Apply Now

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.

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