Company Overview: 

Techline Pakistan is a leading AI based IT company aims to deliver superior IT Solutions to top tier domestic and international customers. Currently we are serving our clients in the area of AI, Big Data, Fintech and BlockChain Services around the globe. We take pride in developing alternative finance applications and our own machine-learning-based fraud prediction system to minimise charge backs merchants facing online. With the core objective of serving the planet, we improve the use of technology integrated with human potential. With over 1000 employees across the country, we offer individuals a variety of career development paths that enable them to contribute to our company goals as well as their professional development. Our attractive HR policies and inclusive work environment make us an employer of choice.

Job Overview: 

Data Scientists 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 systems 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 and Benefits : 

  • 25 paid holidays yearly

  • Overtime: Single pay rate for overtime

  • Bonus: Performance-based as per the evaluation

  • Medical and Life Insurance

  • Increment: Performance-based increments

  • Promotion: Performance-based promotion

  • Lunch provided

  • EOBI

  • Local and International Trips

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
21 - 30 Years
Minimum Education:
Bachelors
Degree Title:
BSCS, BSIT ,BS Software Engineer
Career Level:
Entry Level
Experience:
1 Year - 2 Years
Apply Before:
Aug 09, 2020
Posting Date:
Jul 08, 2020

Tech Line

Information Technology · 51-100 employees - Lahore

Techline Pakistan is a leading AI based IT company aims to deliver superior IT Solutions to top tier domestic and international customers. Currently we are serving our clients in the area of AI, BiG Data, Fintech and Blockchain Services around the globe. We take pride in developing alternative finance applications and our own machine-learning-based fraud prediction system to minimize charge backs merchants facing online. With the core objective of serving the planet, we improve the use of technology integrated with human potential. With over 1000 employees across the country, we offer individuals a variety of career development paths that enable them to contribute to our company goals as well as their professional development. Our attractive HR policies and inclusive work environment make us an employer of choice.

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