Top Data Science Jobs in the Philippines

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.

Manage and grow enterprise airline accounts using Volantio's SaaS platform. Own implementation, launch, optimization, support, renewals, and expansion. Act as product and technical expert, coordinate with Product and Engineering, drive retention and revenue metrics, run regular customer cadences (weekly support, QBRs, onsite visits), and identify optimization opportunities to deliver quantified customer value.

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

Provide administrative support for managing sponsored children and facilitate community activities. Ensure service delivery and assist with data management and reporting tasks.

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 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.

Senior Data Science Engineer designs, develops, and deploys ML models (including Transformer-based models and AI agents) on Google Cloud. Collaborates with clients, uses MLOps, version control, and cloud ML tools, and provides technical guidance while staying current with ML advancements.

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.

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