Principal Data Scientist
hace 7 días
As a Senior Data Scientist at Tiger Analytics, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.
Key Responsibilities:
- Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
- 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 cuttingedge 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.
- 23 years of Model building and Enterpriselevel 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 problemsolving skills and ability to think analytically.
- Excellent communication and presentation skills.
- Ability to work effectively in crossfunctional teams and manage multiple projects simultaneously.
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