Data Scientist

About the role

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. You will work on real-world, high-impact projects across a variety of industries. You will identify micro patterns in data that our clients can exploit to maintain their competitive advantage and watch your technical solutions transform their day-to-day business.

What you'll do

• Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
• Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
• Translate business problems into analytical problems and develop models aimed at solving our clients and users problems and ensure they are evaluated with the relevant metrics
• Write highly optimized code to advance our internal Data Science Toolbox
• Add real-world impact to your academic expertise, as you are encouraged to write papers and present at meetings and conferences should you wish
• Take part in R&D projects; attend conferences such as NIPS and ICML as well as data science retrospectives where you will have the opportunity to share and learn from your co-workers
• Work in one of the most advanced data science teams globally

Requirements

• Bachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
• Programming experience (focus on machine learning): SQL and Python's Data Science stack are a must
• Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
• Knowledge in applying machine learning solutions to real problems with complex and/or big amounts of data
• Willingness to travel
• Fluent level language skills in Korean and in English

Preferred qualifications

• Good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus
• R, SPSS, SAS (nice to have)
• Software Engineering is a plus
• Experience deploying technology applied to business problems is a plus

Benefits

• 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.
• A voice that matters: From day one, we value your ideas and contributions.
• 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.
• 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.