Data Scientist

Job description

Be #InGoodHands with Metrobank! Here at Metrobank, we don't simply hire employees—we hone future leaders. We provide opportunities that enhance your skills and unlock your talents, helping you evolve into a well-rounded individual. We supply you with all the pieces you need to do your best work, unleashing your full potential to help you secure your future and lead a fulfilling career. And with Metrobank's strong heart for the community, you have the chance to give back and make worthwhile contributions to our nation's economic and social development. With Metrobank, a meaningful life is within your reach! Position Title: Data Scientist As a Data Scientist at Metrobank, you will gain the following career advantages: Contribute to the building of an end-to-end pioneer data science and advanced analytics team who works on significant data projects that help shape the future of the bank. Exposure to intricacies and dependencies of data operations and machine learning models in a highly regulated environment. Learn from analytics professionals, data scientists, data visualization experts, and banking domain leaders who will consume, analyze, and act on data made available to them. This role prepares the successful candidate for complex technical or managerial roles related to the management and usage of data science models for banking decisions. With deeper understanding of the business domain, this role can lead to data-driven roles in the Wealth and Commercial business units being served by the analytics team. With deeper understanding of data structures, this role can also lead to more technical data engineering roles. What you will be doing: Support new data-driven initiatives by using sound statistical supervised and unsupervised machine learning techniques in coming up with data models that allow the bank to improve customer experience, engagement, retention, and overall customer lifetime value. Help pioneer the bank’s machine learning models using data science tools such as but not limited to SAS Viya (Visual Analytics, Visual Statistics, and Visual Data Mining & Machine Learning), R, Python, and Azure Machine Learning Studio. Refine data science problem statements after requirements-gathering with business users and determine the appropriate models to respond to the problem statement. Determine and specify the data needed to answer the problem statement, identifying potential input variables or predictors and response variables. Wrangle available data and prepare them for modeling. Evaluate various models and recommend a model based on its performance, ability to respond to problem statement, or interpretability. Prepare business-facing reports on the recommended models (at times assisting in explaining the recommendations to business users). Assist in deploying and operationalizing recommended models, designing and implementing processes that ensure business users’ continued usage of recommended or refined models. Assist in periodically refining deployed models in production. Qualifications : Education and experience in a data-heavy field, such as (but not limited to) Math, Statistics, Economics, Management Engineering, Industrial Engineering, Computer Science. Good understanding of the theory behind machine learning models and their applicability in various situations. Prior experience as data analyst or data scientist preferred. Proficiency in analytics and data visualization tools such as (but not limited to) SAS, Power BI, Tableau, or Qlikview. Programming experience (SQL, SAS Script, R, or Python) is an advantage. Ability to communicate and collaborate with various analytical and technical teams. Ability to communicate and collaborate with business stakeholders of varying seniority levels is an advantage Other Details: Rank : Junior Officer Unit : Branch Banking Sector / Data Science and Advanced Analytics Division / Data Innovations Department Office Location : GT Capital Tower, Ayala Avenue corner H.V. Dela Costa Street, Makati City