Top Data Science Jobs in the Philippines

Lead analytic client engagements in the Financial Services sector, developing predictive risk management and business intelligence solutions using data science methodologies.

The Promoter Manager develops and executes regional demand generation strategies, oversees field marketing agencies, and analyzes sales data to enhance brand awareness and sales performance.

The Sales Representative is responsible for increasing partner origination, maintaining relationships with merchants, training staff, and achieving sales targets through field work and direct sales.

The Enterprise Account Executive at Snowflake develops and closes sales opportunities in the Enterprise market, focusing on customer pain points and driving business value.

The Product Owner is responsible for the product vision, roadmap, and stakeholder alignment in delivering enterprise data products. This includes managing backlogs, ensuring product adoption, establishing governance, and maintaining high-quality standards.

The Advance Analytics Director leads data science and analytics initiatives, fostering a high-performance culture. This role contributes to organizational goals through collaboration, strategic insights, and governance, while supporting professional growth and innovation.

The Head of Sales leads revenue growth in the Philippines, managing relationships with agencies and driving commercial strategy, ensuring to achieve sales targets and form trusted partnerships.

The Solutions Manager is responsible for managing Data Management & Analytics solutions, meeting quota targets, developing proposals, and ensuring client satisfaction through technical presentations.

The Enterprise Account Executive sells technical solutions and SaaS to the enterprise market, focusing on new business development, customer management, and achieving sales quotas while utilizing a consultative approach and collaborating with cross-functional teams.

Design and develop AI-driven innovation projects, build autonomous decision-making systems, and participate in the software development lifecycle using advanced data-driven technologies.

Manage Data Science solutions for clients, innovate new methodologies, support teams, and automate processes while leveraging large data sets.

The role involves providing data science solutions, supporting clients, innovating new use cases, collaborating with teams, and leveraging large data sets to drive insights.

The role involves using advanced analytics and data science methodologies to optimize supply chain and business operations, improving decision-making and efficiency through data architectures and visualization tools.

As a Data Scientist at Dyneti, you will track fraud trends, translate insights into product improvements, and build impactful solutions to enhance fraud prevention.