DATA SCIENTIST - DATA SCIENCE OFFICER

Bank of the Philippine Islands (BPI)


Date: 9 hours ago
City: Manila
Contract type: Full time
Develop analytical models and deliver data-driven solutions using statistical analysis, machine learning, and advanced analytics techniques. Apply data science methodologies to solve complex business problems and generate actionable insights that drive strategic outcomes.

Responsibilities

Analytical Model Development

  • Develops and implements analytical models using statistical analysis, machine learning, and advanced analytics
  • Builds and deploys models using AWS cloud services including SageMaker, S3, and related tools
  • Conducts quantitative analysis including forecasting, optimization, segmentation, and predictive modeling
  • Performs exploratory data analysis and apply data mining techniques to generate actionable insights

Business Collaboration & Delivery

  • Collaborates with stakeholders to understand requirements and translate them into technical specifications
  • Supports end-to-end project delivery from requirements gathering through model deployment and monitoring
  • Creates data visualizations, analytical reports, and presentations for stakeholder communication

Technical Operations & Quality Assurance

  • Supports data acquisition, processing, and quality assurance activities using AWS services
  • Assists in model deployment, monitoring, and performance assessment in cloud environments
  • Conducts validation and testing of analytical models to ensure accuracy and reliability
  • Maintains documentation of processes, methodologies, and technical specifications

Qualifications

  • Must have a bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field
  • Must have 2-4 years experience in data analysis, statistical modeling, or related analytical roles
  • Must have proficiency in programming languages (Python, R, SQL)
  • Must have experience with data visualization tools and statistical analysis software
  • Must have understanding of machine learning concepts and data science methodologies
  • Must have strong communication and collaboration skills
  • Must have skills in Python, R, SQL, and data visualization tools
  • Must have skills in statistical analysis and machine learning techniques
  • Must have skills in data processing and database management systems
  • Must have skills in version control systems and collaborative development tools
  • Preferably has proficiency in AWS cloud services and tools (SageMaker, S3, EC2, Lambda)
  • Preferably has experience in banking or financial services industry
  • Preferably has advanced degree in relevant field
  • Preferably has certification in data science or analytics
  • Preferably has skills in operations research and optimization methodologies
  • Preferably has skills in geospatial analysis and time series forecasting
  • Preferably has skills in business intelligence and stakeholder management
  • Preferably has skills in data engineering and model deployment technologies
  • Preferably has skills in model monitoring, validation, and governance frameworks

Work set-up: Hybrid

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