Data Scientist - PMO / SME

Job Description
Location: Pakistan (Remote)

Timings: US business hours (5 PM to 2 AM PKT)

Objective of the Role

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 definition of the problem statement to 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 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 Mentor 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 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
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 Plattform
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
Job Skills
Generative AICloudSQLPythonNLPNeural NetworksDeep LearningMachine LearningData ScienceGCPAzure CloudAWS Cloud
Job Details
Industry:
Information Technology
Functional Area:
Data Science
Total Positions:
1 Post
Job Shift:
Work from Home
Job Type:
Full Time/Permanent
Job Location:
Islamabad, Karachi, Lahore, Pakistan
Gender
No Preference
Minimum Education
Master
Degree Title
Mathematics, Statistics, Computer Science
Career Level
Experienced Professional
Experience
7 Years - 15 Years