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Posted Apr 26, 2024 237 views
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.
Skills
Job Details
Industry:
Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Gender:
No Preference
Age:
30 - 35 Years
Minimum Education:
Bachelors
Degree Title:
ENGINEERING
Career Level:
Experienced Professional
Experience:
10 Years - 15 Years
Apply Before:
May 26, 2024
Posting Date:
Apr 26, 2024
Progriz COE
Information Technology · 1-10 employees - Karachi, Lahore
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