Create/guide programs to invent and deliver predictive modeling and decision technologies for diverse businesses such as Manufacturing (in particular), Power generation, Water distribution etc. 

Understand problems in the manufacturing domain and leverage data to solve complex scenario’s like:

·         Reduce waste

·         Enhancing Quality

·         Reduce delivery time

·         Reduce Total delivery Cost

·         Reduce Net Working capital

·         Increase Overall Equipment efficiency

Eliminate inconsistencies and overburdened processes

Use machine learning algorithms to solve Operational, Quality and Maintenance issues

Should have hands on experience in implementing commonly used algorithms in R/ Python

Should have expertise in data visualization tools such as D3.js, GGplot, etc

Ability to improve/ combine current solutions to suit requirements.

Should be proficient in SQL, Database procedures.

Job Details

Total Positions:
5 Posts
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Degree Title:
Computer Science, Mathematics, Applied Statistics or related disciplines
Career Level:
Experienced Professional
Minimum Experience:
2 Years (Strong knowledge of Linear Algebra, Probability, Statistics and Optimization.)
Apply Before:
Jul 21, 2017
Posting Date:
Jun 20, 2017

InfoTech Pvt Ltd

Information Technology · 301-600 employees - Islamabad, Karachi, Lahore

Established in 1995, InfoTech is now a leading, and the fastest growing IT Knowledge Integration company. With deep business process knowledge, highly skilled resources and collaborative working culture we are committed to delivering Performance-centric Technology Solutions to our customer and help them become high-performance businesses. Our strong alliances with industry leaders like IBM, Oracle, Cisco, Computer Associates (CA), SAP, McAfee, and others, provide us distinct advantages to remain a dependable and trusted technology partner for our customers. Our consistent growth is due to the high level of importance given and investments made in developing Human Capital and creating a knowledge based leadership culture. Now that the company is a global provider, growth is critical. We invite talented, challenge seeking, growth-savvy men and women to join, and grow with us.

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