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Position Title: Data Scientist
Job Summary:
- 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 supervised and unsupervised 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) 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.
Role Exposure:
- Contribute to the building of an end-to-end pioneer data science and advanced analytics team.
- 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.
- 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.
- 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.
Qualifications:
- Bachelor’s Degree in Computer Science, Information Technology, Statistics or a related field.
- 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 technical team.
- 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
