Top Data Science Jobs in Manila

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.

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

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.

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 Associate Data Scientist will own data science solutions, support clients, innovate new solutions, and collaborate with teams to deliver insights.

Lead and mentor a team of data scientists, overseeing ML initiatives and driving business impact through effective data science practices.

The role involves applying data science techniques like ML and NLP for business requirements, developing models, processes, and tools, and coordinating analytics across departments.

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.