GAMMA Data Scientist
Published | December 13, 2022 |
Location | Seoul, Korea, Republic of |
Category | Data Science |
Job Type | Full-time |
Description

Who We Are
Practice Area Profile
BCG GAMMA combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA team is comprised of world-class data scientists and business consultants who specialize in the use of advanced analytics to get breakthrough business results. Our teams own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG GAMMA, youll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing analytics enterprise at BCG - a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.
What You'll Do
- Comfortable in a client-facing role with the ambition to lead teams
- Organize client business issues structurally and break-down into analytics problem
- Likes to distill complex results or processes into simple, clear visualizations
- Explain sophisticated data science concepts in an understandable manner
- Suggest options for applicable analysis methodologies based on client context
- Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
- Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
- Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
- Have strong project management skills
What You'll Bring (Experience & Qualifications)
- Degree in computer science, applied mathematics, statistics, machine learning, or other data centric disciplines with relevant internships or up to 8 years of relevant industry work experience providing advanced analytics solutions
- Strong record of extracurricular activity, professional accomplishment, and leadership
- Additional experience in core analytic methods such as predictive modeling, customer segmentation/clustering, network analysis, supply chain optimization, simulation, etc.
- Fluency in at least one coding language (e.g. Python, R)