Remote Principal Data Scientist at Tiger Analytics

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 and communicate the analytics approach effectively to business partners.
Responsibilities include leading analytic approaches, creating scalable models, collaborating with cross-functional teams, and staying updated with the latest trends in data science.
The Senior Data Scientist will support demands from regulators and investor relations by developing innovative solutions using cutting-edge techniques and tools.

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 and PySpark programming languages, as well as experience with Azure databricks, is essential.
Familiarity with cloud platforms like Azure and AWS is a plus.
Strong problem-solving skills, ability to preprocess and clean large datasets, excellent communication, and presentation skills are required.
The candidate should be able to work effectively in cross-functional teams and manage multiple projects simultaneously.

Opportunity to work on innovative projects and collaborate with a growing team of experienced Data Scientists.
Exposure to the latest applications of data science and the chance to drive business value through advanced analytics.
Access to external sources of ideas through conferences and community engagements.
Development of repeatable, interpretable, dynamic, and scalable models for analytic data products.
Support in meeting objectives utilizing cutting-edge techniques and tools to address demands from regulators and investor relations.