Machine Learning Researcher
1 day ago
On-site - Taguig | 3-5 Years Experience | Bachelor's Degree | Full-time
Job DescriptionDo you want to take the first step in making Filipinos' lives better every day? Here at GCash, we aim to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation G ka ba?
Join the G Nation today Roles and ResponsibilitiesResearch and develop machine learning models addressing problem domains such as credit scoring, personalization, fraud detection, entity resolution, etc. Discover new applications of machine learning and AI to meet emerging business needs
Collaborate with data strategists and machine learning engineers to deliver end-to-end AI solutions to business teams
Publish and share research internally within the Advanced Analytics team and with broader business teamsQualifications2+ years of experience in a similar data-related role
Undergraduate degree in Statistics, Computer Science, Physical Science, Economics, or a related technical field; a graduate degree is a plus
Strong understanding of SQL and Python or R for advanced analysis
Experience with machine learning on big data; expertise in recommender systems, forecasting, NLP, network science, or reinforcement learning is a significant advantage
Familiarity with data cloud services for analytics and automation
Experience with version control software such as GitStrong research skills and ability to present interpretable insights
What We OfferOpportunities for career growth and development in the country's leading FinTech company
Work with a dynamic, highly collaborative team committed to innovation
Highly competitive and flexible compensation and benefits packageRequirementsPlease refer to the detailed job description above. Key skills include: Data Analysis, Machine Learning, Statistical Modeling, Data Visualization, Python, R, SQL, Problem Solving, Critical ThinkingWorking LocationThis position is based in Taguig. If the role requires overseas work, please exercise caution and be aware of potential scams.
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