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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 to solve business problems, communicating analytics approaches effectively to business partners, and leading the integration of solutions with cross-functional teams.
The Senior Data Scientist will create scalable models, collaborate with a team of Data Scientists, stay updated with industry trends, and develop innovative solutions using advanced 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, statistical analysis, and 2-3 years of model building and enterprise-level deployment experience.
Proficiency in Python, PySpark, and Azure Databricks is essential, while experience with cloud platforms like Azure and AWS is a plus.
Ability to preprocess and clean large datasets, strong problem-solving skills, analytical thinking, excellent communication, and presentation skills are required.
The candidate should be able to work effectively in cross-functional teams and manage multiple projects simultaneously.
Benefits:
Opportunity to work on innovative projects and collaborate with a team of experienced Data Scientists.
Competitive salary and benefits package.
Remote work option available.
Continuous learning and development opportunities.
Exposure to cutting-edge techniques and tools in Data Science and Machine Learning.