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  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

Help organization discover the information hidden in vast amounts of data and help Engineering/ Business/ Operations teams make smarter decisions to deliver better customer experience

Build recommendation systems

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our Mobility, IOT, Wholesale voice products

This also involves automating data pull from various Engineering platforms (flat file/ unstructured data file, csv file) ETL and Integrate these with data from various databases (Oracle/ SQL and way forward may be Mongo DB and other) and Business inputs in excel

Thinking about and conceptualising Engineering/ Operations and Customer problems and challenges and working on meaningful Analytics for teams to action

Working as part of a CFT team comprising Engineering/ operations/ business members to understand the requirement and creatively provide solutions

Learning new technologies and algorithms and suitability of those to ours big-data

Key Responsibilities

Meaningful analytics for forecasting traffic volume/ licenses utilization/ performance degradation

Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques

Deliver in depth analysis on business performance (trends, funnels) and drivers, as well as forecasts and targets

Provide actionable insights on how to improve our services and Proactive customer experience forecasting

Identify new or emerging patterns and build operational processes to proactively handle them

Build scale and efficiency through automation and intelligence and drive workflow improvements

Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies

Transform data into innovative features/signals that can improve a machine-learning task

Build machine learning models and evaluating their quality on real life scenarios

Prototype new approaches and develop new algorithms using NLP & ML techniques

Interworking with other platforms/ extending our data platform through APIs/ SQLs

Enable ongoing monitoring of business health

Skills Required

Technical Skills

Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc), Tensorflow/Scikit/PyTorch Learn Models Large data handling using Kibana and Elastic Search

Large scale data volume optimization Least time search algorithm

Google Analytics/ Adobe analytics

Big Data Modelling, Data warehousing, data staging

Categorization/ association rules, knowledge discovery, predictive analytics

Good applied statistics skills, such as distributions, statistical testing, regression, etc

Good scripting and programming skills

Statistical and Quantitative Analysis

Soft Skills

Data-oriented personality with Analytical skill, logic and reasoning Well versed with various Algorithm

Creativity and Problem Solving

This involves communication across engineering, operations, product and business teams to understand their requirement and convert it into reproducible dashboards

A good listener and possess good communication skill

Qualification

Education background

Computers/ Information Technology/ Big-DATA Analytics ( any one)

Additional Qualifications required / preferred

Required Hands-on experience in Big Data Analytics and Machine Learning

Criticality of role to Company (Specify Details)

KPI, Data Analytics and Automation resulting in

1 Proactive Planning of resources, Impact analysis and discover the information hidden in vast amounts of data

2 Saving of manhours by automation of data pull extract/transport/load from various types of data sources

3 Generating summarized and actionable information on customer/ system/service/licenses/ resource utilization for Engineering/ Business Planning and proactive actions on performance metrics impacting Customer experience

Knowledge / Skills

Communication Skills

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking, Telecom
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 16th Jan 2020

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