Data Scientist - Deep Learning

About the job

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a 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 the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities


Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools
Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications
Will leverage AI (time series, machine learning, RNN, etc.) to sift through the sensor data and give meaningful patterns and insights
Evaluate the performance of models and make necessary improvements
Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop IoT products
Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
Share your passion for Data Science with the broader 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



Requirements


Undergraduate degree in a quantitative field
Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
Experience with cloud computing platforms such as AWS
Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
Experience with NLP or CV
Experience developing models from inception to deployment



Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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