Jr. Data Scientist

Programmers Force Verified

Lahore , Pakistan

Posted Jul 30, 2019 203 views

PKR. 20,000 - 40,000/Month

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Job Description

Programmers Force is a product-driven software company that excels in the field of Artificial Intelligence and Machine Learning since 2016. The company was founded by the team of visionary entrepreneurs that led its operations under software development, data science, DevOps, system architecture, big data processing and blockchain based applications development. We take pride in our diversified workforce with talent coming from top institutions of Pakistan and abroad. Our vision is to create innovative and intelligent business solutions through the development of smart web & mobile applications with a mission to support global industries in their day to day business challenges. Our specialized teams posses tacit knowledge of high-tech systems that enables us to tap businesses from more than 200 countries worldwide. This is just a beginning for us! We are in search of talented candidates with technical expertise who can add value in our fast paced and work intensive environment.

If you are up for this challenge, you know where to apply!

Data Scientist discover the information hidden in vast amounts of data, and make smarter decisions to deliver even better products. The focus is in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Automate scoring using machine learning techniques, build recommendation systems, improve and extend the features used by our existing classifier, develop internal A/B testing procedures, build system for automated fraud detection.

 

Responsibilities and Duties:

  • Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills & Requirements:

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools, such as D3.js, GGplot, etc.Proficiency in using query languages such as SQL, Hive.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills

Perks

  • 25 paid holidays yearly
  • Lunch provided.
  • EOBI Facility.
  • Medical Insurance.
  • Life Insurance.
  • Flexible Working Hours.
  • Payment for Overtime.
  • Enjoy your weekend, we work on weekdays only!
  • Indoor Gaming - Perfect balance between work and play.
  • Personal Growth - Learn the best from the best.
  • Opportunity to engage in local and international trips.
  • Performance based Bonuses.
  • Performance based salary increment and promotion.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Johar Town, Lahore, Pakistan
Gender:
No Preference
Minimum Education:
Bachelors
Career Level:
Entry Level
Minimum Experience:
Less than 1 Year
Apply Before:
Aug 30, 2019
Posting Date:
Jul 30, 2019
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Programmers Force

Information Technology · 51-100 employees - Lahore

Programmers Force is a FinTech Software Development company that develops applications for large scale financial institutions around the world. With us, you’ll get to work in multiple frameworks and learn to make them intelligent using machine learning. Our vision is to create innovative and intelli ...Read More

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