Data Scientist

Progriz COE

Multiple Cities, Pakistan

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Posted Apr 26, 2024 167 views Report Job

The ideal candidate should be a hands-on, working Data Scientist with leadership experience. Should have a solid background and be proficient in training and mentoring junior Data Scientists and Machine Learning engineers. Candidate should also be able to lead a data analytics project from the definition of the problem statement to the deployment of the production solution.

Other Main Targets:

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 on 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.

Responsibilities to Train Consultants and Mentors on the Following:

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.
Built 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.

Requirements:

The ideal candidate should have 7 to 15 years of experience manipulating data sets and building statistical and machine learning models.
Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field.
Experience Developing Machine Learning/Data Science models, from coding to deployment.
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 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 is desirable.