11 days ago
Data Science Officer
Bank of the Philippine Islands (BPI)
On Site
Full Time
₱0
Manila, National Capital Region, Philippines
Job Overview
Job TitleData Science Officer
Job TypeFull Time
Offered Salary₱0
LocationManila, National Capital Region, Philippines
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Job Description
Data Science Officer
The Data Science Officer is responsible for developing analytical models and delivering data-driven solutions using statistical analysis, machine learning, and advanced analytics. The role applies data science methodologies to solve complex business problems and generate actionable insights that support strategic decision-making.
Responsibilities
- Develop and implement analytical models using statistical analysis, machine learning, and advanced analytics techniques.
- Perform exploratory data analysis, data mining, and quantitative analysis including forecasting, optimization, segmentation, and predictive modeling.
- Build, deploy, and support analytical models using cloud-based tools and platforms, including AWS services.
- Collaborate with business stakeholders to translate requirements into technical solutions and support end-to-end project delivery.
- Prepare data visualizations, analytical reports, and presentations to communicate insights and model outputs to stakeholders.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
- At least 2 to 4 years of experience in data analysis, statistical modeling, or related analytical roles.
- Proficiency in programming languages such as Python, R, and SQL, with experience in data visualization and analytical reporting tools.
- Solid understanding of statistical analysis, machine learning concepts, and data science methodologies.
- Strong communication and collaboration skills, preferably with experience in cloud-based analytics tools and exposure to the banking or financial services industry.
Key skills/competency
- Data Science
- Machine Learning
- Statistical Analysis
- Python
- R
- SQL
- Data Visualization
- Predictive Modeling
- Cloud Analytics (AWS)
- Financial Services
How to Get Hired at Bank of the Philippine Islands (BPI)
- Tailor your resume: Highlight your experience in data science, machine learning, Python, R, SQL, and cloud platforms, specifically mentioning AWS if applicable. Emphasize any financial services industry experience.
- Showcase relevant projects: Quantify your achievements in previous data analysis, statistical modeling, or predictive modeling roles. Include examples of successful model deployment and stakeholder communication.
- Prepare for technical questions: Be ready to discuss your understanding of statistical analysis, machine learning concepts, and data science methodologies. Practice coding challenges in Python, R, and SQL.
- Demonstrate collaboration: Prepare examples of how you've worked with business stakeholders to translate requirements into technical solutions and effectively communicated complex data insights.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific data science methodologies are most valued for the Data Science Officer role at BPI?
02How important is prior experience in the banking or financial services industry for this Data Science Officer job?
03What programming languages and tools are essential for a Data Science Officer applicant at BPI?
04Can I apply for the Data Science Officer position at BPI with a degree in a field other than Data Science?
05What is the expected experience level for the Data Science Officer role at BPI?
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