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Recently posted jobs
Artificial Intelligence • Information Technology • Software • Consulting
Manage delivery for a client’s data strategy and analytics team, including planning, roadmaps, backlogs, milestones, dependencies, risks, scope, and stakeholder communication. Lead Agile ceremonies, provide status reporting, remove blockers, manage change requests, and represent Pyyne in client meetings. The role requires strong technical project management, client relationship skills, data and analytics understanding, fluent English, and experience working with distributed teams.
Artificial Intelligence • Information Technology • Software • Consulting
Build and deploy statistical and machine learning models for a client e-commerce engagement. Translate business questions into analyses, prepare datasets, design experiments, communicate findings, and move models into production with monitoring. Collaborate with client data and engineering teams while writing tested, reproducible code. The role requires strong Python, SQL, statistics, machine learning, stakeholder communication, and fluent English, with cloud, MLOps, modern data stack, BI, and consulting experience preferred.
Artificial Intelligence • Information Technology • Software • Consulting
The Financial Controller will own full-cycle accounting, monthly and quarterly close, multi-entity reporting, billing, collections, payables, payroll, benefits administration, reconciliations, compliance filings, audit support, financial reporting, cash-flow forecasting, expense management, and operating metrics. The role reports to the COO and supports leadership with financial strategy, modeling, board-level reporting, and ad hoc analysis in a global professional services environment.
Artificial Intelligence • Information Technology • Software • Consulting
Conduct product analysis, answer stakeholder questions, define product metrics, and design and evaluate A/B tests. Partner with product managers and engineers, explain statistical concepts, assess significance and experimentation pitfalls, and provide data-driven insights. The role also involves understanding data models, communicating findings through data storytelling, supporting product decisions, and contributing to team process improvements.



