Jobs at Tiger Analytics

The Lead Data Scientist will design, develop, and deploy GenAI solutions, mentor teams, and translate business needs into analytical solutions. Responsibilities include developing end-to-end ML pipelines, presenting solutions to stakeholders, and ensuring efficient delivery of analytics solutions.

The Sr. Associate of HR Analytics & Reporting will manage HR dashboards, report generation, compliance, payroll, employee engagement, and enhance HR operations.

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

The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.

The Director of Analytics Consulting will lead analytics projects for CPG clients, translating business problems into high-level solutions and managing global teams, with a strong emphasis on data-driven insights and stakeholder engagement.

Lead development and scaling of enterprise data products for supply chain: translate business needs into end-to-end analytics solutions, manage delivery, coordinate cross-functional teams, build data roadmaps, ensure data accessibility, and present results to senior stakeholders.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

Manage end-to-end US and Canada recruiting for GenAI, ML, and Data Engineering roles: source, screen, maintain ATS and pipelines, coordinate interviews, manage offers/negotiations, and partner with external agencies.

The Technology Partner leads client engagements in Data & Insights, providing technology leadership, thought leadership, and mentoring while driving transformation agendas and solutions development.

Lead analytics consulting engagements: translate business problems into end-to-end data science and ML solutions, present to executive stakeholders, manage projects and global teams, and operationalize analytic outputs with IT and data engineering.

Lead workflow automation and business transformation initiatives leveraging AI across Operations and Finance. Manage stakeholder relationships, map business processes, and implement AI-driven solutions.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

The Lead Full Stack Engineer will design and develop scalable full stack applications, integrating GenAI solutions, and leveraging AWS services. Responsibilities include building RESTful APIs, implementing CI/CD pipelines, and collaborating with cross-functional teams to ensure application performance and security.

Lead data engineering initiatives, ensuring optimal architecture, manage teams, design scalable pipelines, and collaborate with data scientists to meet needs.

Lead the design of data architectures in Multi-Cloud environments, oversee migration of legacy systems, develop predictive models, and mentor technical teams.

Seeking a Site Reliability Engineer to manage AI platform reliability, automate tasks, optimize ML pipelines, and lead incident response in a hybrid engineering role.