Direct message the job poster from Information Tech Consultants
Senior UK/US IT Sourcing Specialist @ Information Tech Consulting & Recent Master of Computer Applications graduate
Data Science SME
Job Requirements
* 8+ years of experience manipulating data sets and building statistical and machine learning models.
* Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field
Fluent English (written/spoken)
* Experience Developing Machine Learning / Data Science models, from coding to deployment
* 2+ years of experience in teaching or training.
* 3+ Years of Hands-on Hybrid Development experience preferred.
Skills
* Able to train/mentor/coach in coding (mandatory python and SQL, java or C++)
* Project Management background preferred.
* Knowledge of the Consulting/Sales structure.
* Empathy and service attitude
* Fast-paced
* Desirable previous international experience (US, Canada, or Europe)
* Leading consultants to grow and create tangible benefits and assets.
Orientation to results
Leadership
Main responsibilities of the position
* Collecting data through means such as analyzing business results or by setting up and managing new studies
* Transferring data into a new format to make it more appropriate for analysis
* Build tools to automate data collection
* Compare and analyze 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 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
* 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, Generative AI and Computer Vision
* Python and SQL coding skills are indispensable
* Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform
* Proficiency oinn 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 a 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
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering, Information Technology, and Other
Industries
Software Development, IT System Custom Software Development, and IT Services and IT Consulting
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