Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.
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Tiger Analytics is hiring an experienced Data Engineer to design the AWS-based data architecture that supports generative AI, LLMs, and autonomous agents for Fortune 500 clients.
Tiger Analytics is hiring an experienced Machine Learning Engineer to build, deploy, test, and monitor machine learning pipelines and data quality solutions for enterprise clients in a consulting environment.
Tiger Analytics is seeking a Tech Partner to lead enterprise Data & AI strategy, oversee complex client engagements, and help grow a global consulting practice.
Tiger Analytics is hiring a Senior MLOps Engineer to help build and operate the company’s next-generation machine learning platform and data science workbench in close collaboration with internal stakeholders and infrastructure teams.
Tiger Analytics is seeking an Azure Databricks Administrator to support engineering and operations teams by deploying and managing platform solutions within a fast-paced analytics consulting environment.
Tiger Analytics is seeking a Product Manager to lead the development and enhancement of infrastructure products and services, shaping the roadmap and delivery of solutions for customer needs.
Tiger Analytics is hiring an Innovation Engineer to drive AI and GenAI ideation, rapid prototyping, and early-stage incubation efforts for enterprise clients.
Tiger Analytics is hiring an Immigration and Global Mobility Coordinator in India to manage immigration case support and compliance coordination for employees across the US, Canada, UK, and Spain.
Tiger Analytics is hiring a Recruitment Coordinator to support day-to-day recruiting operations across its US and LATAM teams for analytics roles.
Tiger Analytics is hiring a Machine Learning Engineer to build, deploy, and operate scalable ML solutions on Google Cloud Platform and Vertex AI across the full model lifecycle.
Tiger Analytics is hiring an Ontology Architect to lead enterprise ontology, knowledge graph, and semantic layer initiatives that unify complex data domains and drive measurable business outcomes.
Tiger Analytics is hiring a Senior Data Scientist to advance supply chain, pricing, and replenishment optimization work for retail and CPG clients using data, analytics, and optimization methods.
Tiger Analytics is seeking an AI architecture leader to define the enterprise technical blueprint for scaling LLM, RAG, and predictive analytics solutions while building the API and messaging foundations that support real-time integration across the organization.
Tiger Analytics Inc. is hiring a Senior HR Associate to partner with business leaders in a fast-growing consulting environment, aligning people strategy with business priorities and organizational effectiveness.
Tiger Analytics is seeking a Principal Data Architect to lead the design of a next-generation data ecosystem for enterprise data management, warehousing, and IoT data ingestion.
Tiger Analytics is seeking a Data and Analytics professional to lead commercial analytics initiatives for global pharmaceutical clients, translating life sciences business needs into scalable data products and decision support across key commercial functions.
Tiger Analytics is seeking a Senior Data Scientist – Forecasting to support Retail, CPG, and Supply Chain clients by building forecasting solutions that inform critical planning and operations decisions.
Tiger Analytics is seeking a Senior Data Scientist to support a new Retail and CPG business unit by building causal inference and predictive analytics solutions that improve customer loyalty, retention, and revenue generation.
Tiger Analytics is seeking a Lead Data Scientist to design and deploy large-scale recommendation systems for consulting clients, while leading projects and partnering directly with stakeholders.
Tiger Analytics is hiring a Data Analyst to support finance and business stakeholders by improving data-driven decision-making through analysis, reporting, and reconciliation of large-scale financial datasets.
