Responsibilities

• Formulating, suggesting, and managing data-driven projects which are geared at furthering the business’s interests.
• Collating and cleaning data from various entities.
• Delegating tasks to Junior Data Engineers to realize the successful completion of projects.
• Monitoring the performance of Junior Data Engineers and providing them with practical guidance, as needed.
• Selecting and employing advanced statistical procedures to obtain actionable insights.
• Cross-validating models to ensure their generalizability.
• Producing and disseminating non-technical reports that detail the successes and limitations of each project.
• Suggesting ways in which insights obtained might be used to inform business strategies.

Requirements

• Advanced degree in Data Science, Statistics, Computer Science, or similar.
• Extensive experience as a Data Scientist.
• Proficiency in Matlab or Python, where the later is preferred.
• 3 years experience in deep learning.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Relevant experience in the development and application of computer vision and/or machine learning algorithms to solve challenging image understanding problems
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Competent in machine learning principles and techniques.
• Demonstrable history of devising and overseeing data-centered projects.
• Ability to relay insights in layman’s terms, such that these can be used to inform business decisions.
• Independent. Can work without close supervision.
• Outstanding supervision and mentorship abilities.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.