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To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
As a Senior data scientist your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
Authority
Develop models and train them
Research on new technologies
Participate in recruitment process
Responsibility
Organizing and cleaning data from multiple entities for later use by Junior Data Scientists.
Assigning duties to Junior Data Scientists in order to achieve the successful completion of projects.
Forming, recommending, and managing data-driven plans which are geared at furthering the business's interests.
Observing the performance of Junior Data Scientists and providing them with useful direction, as required.
Choosing and employing excellent statistical methods to gain actionable insights.
Creating and disseminating non-technical reports that describe the successes and limitations of each project.
Recommending ways in which insights obtained might be applied to inform business strategies.
Requirements
Academic background in AI/ML
3+ years of experience in ML / AI Development or related experience
Solid expertise in using ML tools such as Caffe, pyTorch, TensorFlow, scikit-learn, nltk etc
Strong knowledge of programming language such as Python preferably or C/C++, C#, Objective-C
Solid understanding of data structures, data modeling, and software architecture
Deep knowledge of mathematic, probability, statistics and algorithms
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Agility to build prototypes around new ideas quickly
Propose creative approaches to solve complex problems
Benefits
It's always a good idea to include the benefits of the job the company will provide such as:
Flexible hours to give you freedom and increase productivity
