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Develop and deploy deep learning and computer vision models using image, video, and text data. Responsibilities include model training, quantization, prototyping, testing, documentation, performance benchmarking, and collaboration on live production projects within the KYC Data Science Team.

Build and prototype data science and machine learning solutions to increase customer engagement, GoPay users, and transactions. Analyze large datasets, generate actionable insights, collaborate with engineering, product, and business teams, and support end-to-end model development through deployment. Participate in product discussions, technical documentation, conferences, and workshops. The role requires strong quantitative skills, statistics and machine learning fundamentals, and Python and R experience.

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.

Administer and optimize Workday HCM across Core HCM, Absence, Compensation, Security, and integrations. Analyze requirements, configure scalable HRIS solutions, troubleshoot issues, manage access and permissions, audit HR data, document workflows, and improve HR processes. Collaborate with HR, IT, vendors, Payroll, ATS, and Finance teams while providing technical guidance and user training.

Lead and manage strategic funding partnerships with banks, driving partner onboarding, relationship management, and alignment with internal teams (Risk, Tech, Legal, Compliance). Translate business needs into executable initiatives, enforce governance and guardrails, track progress, resolve blockers, and maintain comprehensive documentation for transparency and audit readiness. Support funding strategy adjustments using data-driven performance evaluation and continuous process improvements.

Own end-to-end ML solutions to improve driver allocation, surge pricing, and incentives. Translate business problems into models, deploy and monitor production systems, design experiments, apply causal inference, optimization and simulation, and communicate results to cross-functional stakeholders.

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

As a Senior Data Scientist, you'll design datasets, conduct model pre-training, and collaborate with teams to develop LLM features for diverse users.

As a Senior Risk Analyst, you'll identify fraud risks, develop strategies, conduct analysis, and build risk metrics to support business growth.