Tiger Analytics
AI & Analytics for today’s business challenges.
Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing
1001 - 5000
Senior Data Scientist
April 24
Tiger Analytics
AI & Analytics for today’s business challenges.
Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing
1001 - 5000
Description
• Work on the latest applications of data science to solve business problems • Effectively communicate the analytics approach and how it will meet and address objectives to business partners • Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers • Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products • Collaborate, coach, and learn with a growing team of experienced Data Scientists • Stay connected with external sources of ideas through conferences and community engagements • Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools
Requirements
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field • Minimum of 5 years of experience in Data Science and Machine Learning • Solid understanding of machine learning algorithms and statistical analysis • 2-3 years of Model building and Enterprise-level deployment experience • Proficiency in Python and PySpark programming languages commonly used in Data Science • Proficiency using Azure databricks • Experience with cloud platforms such as Azure and AWS is a plus • Ability to preprocess and clean large datasets for analysis • Strong problem-solving skills and ability to think analytically • Excellent communication and presentation skills • Ability to work effectively in cross-functional teams and manage multiple projects simultaneously
Benefits
• Opportunities to work on cutting-edge data science projects • Collaboration with cross-functional teams • Drive business value through advanced analytics
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