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Description:
Tiger Analytics is seeking an experienced Senior Data Scientist to join their team and work on cutting-edge projects.
The role involves applying data science and machine learning to solve complex business problems.
The Senior Data Scientist will collaborate with cross-functional teams to deliver innovative solutions and drive business value through advanced analytics.
Responsibilities include effectively communicating analytics approaches to business partners, leading analytic approaches, creating scalable models, and staying connected with external sources of ideas.
The position also involves supporting demands from regulators and investor relations to develop innovative solutions using cutting-edge techniques and tools.
Requirements:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field is required.
A minimum of 5 years of experience in Data Science and Machine Learning is necessary.
The candidate must have a solid understanding of machine learning algorithms and statistical analysis.
2-3 years of experience in model building and enterprise-level deployment is essential.
Proficiency in Python and PySpark programming languages is required.
Experience with cloud platforms like Azure and AWS is a plus.
Strong problem-solving skills, ability to preprocess and clean large datasets, and excellent communication and presentation skills are needed.
The candidate should be able to work effectively in cross-functional teams and manage multiple projects simultaneously.
Benefits:
Opportunity to work on the latest applications of data science and machine learning.
Collaborate with a growing team of experienced Data Scientists.
Stay connected with external sources of ideas through conferences and community engagements.
Develop innovative solutions using cutting-edge techniques and tools.