Data Scientist

About The Company:

iLink Digital is a Global Software Solution Provider and Systems Integrator delivers nextgeneration technology solutions to help clients solve complex business challenges improve organizational effectiveness increase business productivity realize sustainable enterprise value and transform your business insideout. iLink integrates software systems and develops custom applications components and frameworks on the latest platforms for IT departments commercial accounts application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions including healthcare telecom government oil and gas education and life sciences. iLink s expertise includes Cloud Computing & Application Modernization Data Management & Analytics Enterprise Mobility Portal collaboration & Social Employee Engagement Embedded Systems and User Experience design etc.

What makes iLinks offerings unique is the fact that we use precreated frameworks designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators) both industryspecific and horizontal that can be easily customized and enhanced to meet your current business challenges.

Requirements

Summary

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques doing statistical analysis and building high quality prediction systems integrated with our products.

Job Description

• Selecting features building and optimizing classifiers using machine learning techniques
  
• Data mining using stateoftheart 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 adhoc analysis and presenting results in a clear manner
  
• Creating automated anomaly detection systems and constant tracking of its performance
  

Technical Skills

• Excellent understanding of machine learning techniques and algorithms such as kNN Naive Bayes SVM Decision Forests etc.
  
• Experience with common data science toolkits such as R Weka NumPy MatLab. Excellence in at least one of these is highly desirable.
  
• Experience with data visualization tools such as PowerBI Tableau OBI D3.js GGplot etc.
  
• Proficiency in using query languages such as SQL Hive Pig
  

• Experience with NoSQL databases such as MongoDB Cassandra HBase
  
• Good in Applied statistics skills such as distributions statistical testing regression etc.
  
• Good scripting and programming skills.
  
• Experience in Azure ML Azure Analytics as well as build some reports/dashboards in Power BI for Customer Churn Modeling & Reporting
  

Behavioral Skills

• Strong communication and interpersonal skills
  
• Typical level of experience: 5 years
  
• Education: Bachelor / Masters in engineering Computer Science MCA MCS
  

Benefits

• Competitive salaries
  
• Medical Insurance
  
• Employee Referral Bonuses
  
• Performance Based Bonuses
  
• Flexible Work Options & Fun Culture
  
• Robust Learning & Development Programs
  
• InHouse Technology Training
  

Summary We are looking for a data scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Job Description Selecting features, building, and optimizing classifiers using machine learning techniques Data 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 Technical Skills 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. Excellence in at least one of these is highly desirable. Experience with data visualization tools, such as PowerBI, Tableau, OBI, D3.js, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good in Applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills. Experience in Azure ML, Azure Analytics, as well as build some reports/dashboards in Power BI for Customer Churn Modeling & Reporting Behavioral Skills Strong communication and inter-personal skills Typical level of experience: 5+ years Education: Bachelor / Masters in engineering, Computer Science, MCA, MCS