Job Requirements:
Skills
Competencies
Main responsibilities of the position…
• Collecting data through means such as analysing business results or by setting up and managing new studies
• Transferring data into a new format to make it more appropriate for analysis
• Built tools to automate data collection
• Compare and analyse provided statistical information to identify patterns, relationships, and problems
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analysing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analyzing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data
Desired Skills (Including but Not Limited to):
• Knowledge in Deep Learning/Neural Networks techniques, specifically NLP - Natural Language Processing and Computer Vision
• Python and SQL coding skills are indispensable
• Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform
• Proficiency on Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.
• Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus
• Experience using statistical computer languages, including Python & SQL R is s plus to manipulate data and draw insights from large data sets
• Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Ability to compile and organize statistical information retrieved and present findings to management
• Faculty to work toward multiple deadlines simultaneously
• Strong problem-solving skills with an emphasis on product development.
• Certification in a Cloud-Based/Machine Learning service desirable