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As a Senior Data Scientist at Tiger Analytics, you will leverage your expertise in AI and machine learning to design and build advanced analytics engines. Collaborating with teams, you'll develop and evaluate generative AI products, enhance model performance, and drive data-driven business solutions.

As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.

The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.

The role involves managing analytics projects with a focus on GenAI and LLM initiatives while applying Agile methodologies. Responsibilities include facilitating Scrum processes, engaging with business and IT stakeholders, managing project deliverables using tools like Jira, and ensuring timely project execution and communication.

The role involves designing and implementing data pipelines using Azure technologies, integrating various data sources, and optimizing data systems to meet business goals. The candidate will also engage in real-time streaming and advanced analytics modeling while focusing on data quality and transformation techniques.

The role involves analyzing business requirements, constructing data flow processes, consulting on design reviews, and developing Business Intelligence strategies. The consultant will also manage client issue escalations, lead validation for data quality, and work with cross-functional teams to implement scalable solutions.

The Technical Data Steward is responsible for data governance, quality, and integrity management. This role entails implementing governance frameworks, ensuring compliance with regulations, overseeing data quality initiatives, managing data lifecycle, and working with various teams to enhance data standards and policies.