About the role
Tiger Analytics is on the lookout for highly skilled Data Scientists to join our rapidly expanding advanced analytics consulting team. With a wealth of experience in Data Science, Machine Learning, and AI, our professionals are trusted analytics partners for numerous Fortune 500 companies, empowering them to unlock business value from their data. Our leadership and business value have been acknowledged by leading market research firms, including Forrester and Gartner. As we strive to assemble the finest global analytics consulting team, we invite top-tier talent to apply.
In the role of Senior Data Scientist, you will leverage your strong AI expertise in machine learning, data mining, and information retrieval to design, prototype, and develop cutting-edge analytics engines and services. You will work closely with cross-disciplinary teams and business partners to define technical problem statements and formulate hypotheses for testing. Your focus will be on creating effective analytical models that replicate business decision-making processes, incorporating these models into analytical data products and tools. This position offers you the chance to influence both current and future strategies by applying your analytical capabilities to ensure business value and effectively communicate outcomes.
Key Responsibilities:
- Act as a key resource for developing AI agents and RAG databases to address complex challenges. Create AI agent tools to automate data retrieval, wrangling, and analysis.
- Utilize your understanding of data structures, analytics, algorithms/models, and solid computer science principles to prepare datasets, execute analytics, and develop deployable solutions with guidance from senior team members.
- Analyze and integrate complex new data sources into analytical solutions.
- Collaborate with clients and key stakeholders to generate innovative ideas, perform design, analysis, and process enhancements.
- Develop and implement AI and ML solutions on the Google Cloud Platform.
- Leverage vast data sources to derive business insights and features for groundbreaking solutions.
- Understand various data types, both structured and unstructured.

