Jobs at GoTo Group

Support Maps Ops strategy and product operations by tracking cross-pod programs, aligning stakeholders and vendors, performing strategic analysis, monitoring budgets and financials, managing procurement lifecycle, and overseeing vendor onboarding and operations.

Support end-to-end sourcing and procurement across multiple categories (focus on Marketing). Conduct market research, supplier sourcing, evaluations, and negotiations. Manage stakeholder relationships, supplier onboarding, due diligence, compliance, and contract execution. Identify process and supplier performance improvements while supporting procurement needs across business functions.

As a Senior Machine Learning Engineer - Search, you'll design and deploy advanced search and recommendation models, focusing on user intent and enhancing the GoFood and GoPay platforms.

Lead Data Scientist responsible for developing and deploying multilingual large language models, building datasets, and improving AI safety alignment.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

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.

As a Lead Data Scientist, you will design and deploy search and recommendation algorithms, optimizing user experience for GoFood and GoPay systems, leveraging large-scale data and machine learning expertise.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

The Process Improvement Manager will oversee KYC and KYB improvements, ensuring regulatory compliance, analyzing processes, and driving initiatives alongside multiple teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

Perform economic analyses and cost-benefit studies on digital industry regulations; assess financial and operational impacts; design and execute internal research on socio-economic contributions; leverage large datasets to build evidence-based policy briefs, whitepapers, and presentations; collaborate with internal teams and external stakeholders to support advocacy.

Design, prototype, and deploy personalization, recommendation, and search models using large-scale behavioral and transactional data. Build end-to-end ML pipelines, run A/B tests and offline/online evaluations, integrate LLM/LLVM-based models, collaborate with product and engineering teams, and monitor/iterate models to improve discovery and user engagement.

Lead causal modeling and optimization for promotional spend across mobility, delivery, and logistics. Own end-to-end uplift and incrementality modelling, experiment and quasi-experiment design, heterogeneous treatment effect estimation, and budget-constrained allocation. Mentor data scientists, productionize models at scale, partner with product and engineering, and translate model outputs into business budget decisions.