[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 simon.kim@rp4rp.com +82-2-6123-0100
