
Data Scientist, Manager
- Makati City, Metro Manila
- Permanent
- Full-time
- Serve as a data science expert in designing, developing and implementing best in analytic solutions
- Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
- Work with large volumes of data, extract and manipulate large datasets using standard tools.
- Create and deliver powerful insights from data through better visualization and storyboarding
- Analyze, clean, and visualize large data sets.
- Produce data sets for predictive modeling by parsing and aggregating incomplete, unstructured data sources.
- Develop and validate advanced analytics models and algorithms.
- Utilize Visa's data and analytic capabilities to develop and implement consulting solutions.
- Continuously present innovative ideas to improve business practices.
- Perform client-specific analysis on portfolio data including proprietary information.
- Lead transfer of technical knowledge to facilitate business solution implementation.
- Document all projects, including coding and other necessary documentation.
- Enhance and optimize codes for critical business processes.
- Design and develop dashboards using software such as Tableau or Power BI.
- Identify opportunities to automate repeatable analysis or build streamlined solutions.
- Communicate complex concepts and analysis results clearly and effectively.
- At least 5 years of experience in the field of data science and analytics
- Graduate of any quantitative program such as but not limited to Mathematics, Statistics, Data Science, Engineering, Computer Science/IT, etc
- Experience with tools like Hadoop, Spark, Python, SAS, and SQL.
- Advanced skills in analytics and statistical modeling (e.g., Regression, Clustering, Classification).
- Experience in developing Machine Learning models (e.g., Random Forest, SVM) using Python or R.
- Proficient in data visualization software such as Tableau and Power BI.
- Excellent project management and organizational skills.
- Knowledge of Agile methodology and scrum practices.
- Demonstrate ownership in delivering projects, ensuring they are completed on time and meet the desired outcomes.
- Strong teamwork and interpersonal skills.