Senior Quantitative Modeling Analyst

1 day ago


Mandaluyong City, National Capital Region, Philippines Gratitude Philippines Full time

Gratitude Philippines is seeking a highly skilled Data Scientist to join our team. As a key member of our analytics team, you will play a crucial role in driving business growth through data-driven insights.

Job Description

We are looking for a talented Data Scientist to lead the development and implementation of advanced analytics solutions. In this role, you will be responsible for:

Quantitative Modeling
  • Applying data analysis, mining, and processing techniques to uncover hidden patterns and trends in data.
  • Developing predictive models using machine learning algorithms to forecast business outcomes.
  • Collaborating with stakeholders to translate business problems into actionable data science projects.
Analytics Problem Framing
  • Assisting in the conceptualization of analytical projects to drive business value.
  • Breaking down complex problems into manageable components to identify opportunities for improvement.
  • Partnering with stakeholders to develop tailored analytics solutions that meet their needs.
Insights Generation
  • Evaluating experiment outcomes to inform business decisions.
  • Developing compelling presentations to communicate research findings to stakeholders.
  • Synthesizing data insights into actionable recommendations to drive business growth.
Project Management
  • Planning project timelines and resources to ensure successful project delivery.
  • Delivering high-quality solutions within budget and time constraints.
  • Maintaining accurate documentation of data sources, models, and algorithms used in projects.
Information Systems Implementation
  • Designing and implementing data-discovery tools to enhance business operations.
  • Developing automated processes to produce quantitative models at scale.
  • Collaborating with the development team to build innovative solutions that accelerate analytics capabilities.

If you are a motivated and detail-oriented professional with a passion for data science, we encourage you to apply for this exciting opportunity.



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