Jobs at Tiger Analytics

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.

Design and build production-grade Generative AI and NLP solutions (LLMs, RAG, agents, chatbots, document intelligence). Collaborate with clients to translate business problems into scalable AI architectures and present solutions to stakeholders to drive business value.

The Director of Data Science will lead data science initiatives, build ML models, collaborate with stakeholders, and drive impactful insights for clients.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The role involves leading analytics delivery to clients, managing relationships, ensuring account growth, and solving complex business problems through data science in various sectors, primarily CPG and Retail.

Lead high-impact data science initiatives, build ML models, manage analytics projects, communicate insights, and collaborate with teams to drive business outcomes.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

Lead development of supply-chain and pricing optimization solutions: refactor Python optimization code using OOP, build predictive and optimization models for inventory, replenishment, and allocation, collaborate with cross-functional teams, design experiments, monitor KPIs, and mentor other data scientists.

Lead development and refactor optimization algorithms in Python for pricing and supply‑chain problems. Design and implement predictive models and mathematical optimization solutions, collaborate with cross‑functional teams, coach data scientists, and translate business requirements into data‑driven pricing and replenishment strategies.

Lead design, development, and deployment of end-to-end recommendation systems. Build, tune, and evaluate scalable recommendation algorithms, integrate ML into products, lead projects, mentor teams, and communicate solutions to clients and stakeholders while driving innovation in replenishment and supply chain analytics.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.

Design, train, and deploy ML solutions with emphasis on generative AI and NLP (LLMs, RAG). Work with cross-functional teams to analyze text/transcription data, build scalable models, evaluate new algorithms, document results, and present findings to stakeholders to drive business value.

The Finance Director will lead the finance team, overseeing financial planning, analysis, and management practices to support the company's growth and performance optimization.

Design, develop, and operationalize time-series and ML-based forecasting models for demand planning, inventory, replenishment, logistics, and sales forecasting. Collaborate with stakeholders, lead workshops, translate business needs into scalable analytics, and present insights to senior client teams.

Lead design, development, and deployment of GenAI and NLP solutions (RAG, LLM-powered apps, agentic AI, Document Intelligence). Work with clients to translate business needs, build end-to-end ML pipelines, mentor teams, present results to stakeholders, and operationalize scalable, governed AI systems.

Lead end-to-end delivery of credit card pricing and profitability analytics, partner with senior business stakeholders, manage client engagement, oversee model development/validation/implementation, mentor offshore analytics teams, and collaborate cross-functionally to deliver scalable solutions and governance.

Lead end-to-end delivery of a large-scale GCP modernization program in retail across Data Delivery, AI/ML Insights, and Cross Workstream. Drive governance, RAID management, budget/AOP, vendor coordination, platform/IT operations, and executive stakeholder communication while implementing agile practices across multiple teams.

Lead modernization and design of applications, architecting cloud-native systems, optimizing APIs, and ensuring security and scalability for enterprise applications.

Lead enterprise-wide operational modernization and technology transformation initiatives, managing cloud technologies, analytics, and cross-functional stakeholder coordination.

Lead AI and data transformation initiatives, develop AI strategies, deliver AI/ML solutions, mentor teams, and drive innovation for enterprise clients.