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.
