Lead Data Scientist(GenAI)

Toronto 2 months agoFull-time External
359.8k - 616.7k / yr
At Tiger Analytics, we're seeking experienced Data Scientists to drive our advanced analytics consulting firm forward. Our consultants possess deep expertise in Data Science, Machine Learning, and AI, enabling us to deliver business value to multiple Fortune 500 companies. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Lead Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define technical problems and test hypotheses. You will develop efficient analytical models which mimic business decisions and incorporate those models into analytical data products and tools. Additionally, you will have the opportunity to drive current and future strategy by leveraging your analytical skills and ensuring business value. Key Responsibilities • Collaborate with business partners to develop innovative solutions utilizing cutting-edge techniques and tools. • Experiment, evaluate, and create generative AI products for various tasks such as extracting data, summarizing documents, and other generative model applications. • Use fine-tuning and advanced knowledge retrieval methods to improve generative AI model performance on specific tasks. • Evaluate model performance and make necessary improvements. • Collaborate with scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products. • Engineer features by combining disparate internal and external data sources using your business acumen. • Share passion for Data Science within the enterprise community; identify and develop long-term processes, frameworks, tools, methods, and standards. • Collaborate, coach, and learn with a growing team of experienced Data Scientists. • Stay connected with external sources of ideas through conferences and community engagements.