[Company / Industry] Global Digital Payment / Financial Services
[Position] Senior Data Scientist
[Function] Consulting
[Reporting Line] Country Consulting & Analytics Lead
[Employment Type] Permanent
[Compensation] TBD
[Location] Seoul, Korea
[Consultant in charge] Simon S. Kim
Company Description:
Global leader in digital payments
Position Description:
The position is responsible for developing and advising clients on strategic business directions through data analysis
Job Description:
As a key member of fast growing team, He/she will lead the efforts to grow client engagements
Directing and executing multiple medium to large analytic projects along with rest of the stakeholders in analytics & consulting teams
Develop analytical solutions, engage clients, develop strategies, testing & monitoring frameworks and in totality oversee the deployment of said solutions
Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques. Experience in deep learning will be a significant advantage
Collaborating with the internal teams to fully understand business requirements and desired business outcomes
Defining detailed analytic scope and methodology, and creating analytic plan
Executing on the analytic plan with appropriate data mining and analytic techniques
Providing thought leadership in both using data to solve business problems and in arriving at innovative statistical solutions
Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
Ensuring project delivery within timelines and budget requirements
Contribute to the development of the team’s analytical skills and business knowledge
Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members when required
Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
Providing subject matter expertise and quality assurance of complex data driven analytic projects
Job Requirements:
[Technical]
Minimum of 5 years of analytical experience in applying statistical solutions to business problems
Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, etc
Familiar with project based client engagement (i.e. data preparation, defining data dictionary, setting up the process and protocol for the sake of secure data transfer etc.)
Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
Demonstrated ability to innovate solutions to solve business problems
[Business]
Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor
Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in cards/payments, retail banking, or retail merchant industries is important
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
Proven skills in translating analytics output to actionable recommendations, and delivery
Experience in presenting ideas and analysis to stakeholders
Exhibit intellectual curiosity and strive to continually learn
Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
Global mindset, desire and demonstrated ability to be a team player and collaborator in a cross-cultural and matrixed organization
Multi-disciplinary thinking skills: creative, analytic, strategic
Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
Must have experience in simultaneously managing multiple projects
If you are interested, please contact +82-2-6123-0100