Live opening · Posted 6 days ago

AGM - Data Scientist

Vodafone Idea (Vi) · Mumbai Metropolitan Region (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyVodafone Idea (Vi)
LocationMumbai Metropolitan Region (On-site)
Work modeNo
SourceLinkedin
Listed6 days ago

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About the role

Description supplied by the original job listing.

Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India’s leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly ‘Digital India’ by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India.
We're proud to be an equal opportunity employer. At VIL, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected and empowered to reach their potential and contribute their best.
VIL's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our Values of Passion, Boldness, Trust, Speed and Digital. Consequently, our recruiting efforts are directed towards attracting and retaining best and brightest talents. Our endeavour is to be First Choice for prospective employees.
VIL ensures equal employment opportunity without discrimination or harassment based on race, colour, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
VIL is an equal opportunity employer committed to diversifying its workforce.
Role
Data Scientist
Job Level/ Designation
M2/AGM – Data Scientist
Years Of Experience
2 - 7 years of relevant work experience
Function / Department
Big Data and Advanced Analytics - Marketing
Location
Mumbai Corporate
Reporting
VP – Big Data & Advanced Analytics, Marketing
Job Purpose
Create business models to impact the revenue and ARPU of the customers using Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies
Hands on expertise in Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies.
Building key predictive models and analytics products across marketing verticals in the organization
Find ways to combine large-scale experimentation, statistical-econometric, machine learning, deep learning and social-science methods to answer business questions at scale
Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer strategic questions using data.
Work with large, complex data sets. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and written and verbal delivery of results to business partners and executives.
Collaborate with BI, IT and product development teams
Expertise in writing efficient, modularized and standardized code in python
Experience of working with AWS tools and technologies-S3, EC2, EMR, Glue, Sagemaker, Lambda, Dynamo DB, RedShift, Quicksight
In-depth understanding of Feature engineering and selection approaches, Segmentation or stratified analyses, anomaly detection, pattern detection and data transformation approaches. Classification; Machine/Deep Learning - Algorithm Evaluation, Dataset Preparation
Assessing the Model accuracy both Statistical as well as Business evaluation (Target Group vs Control Group & overall adoption)
Well versed with writing efficient SQL scripts for data acquisition and data aggregation
Help suggest, support, and shape new data driven use cases on AI-ML
Key Result Areas/Accountabilities
Align dynamically & efficiently to organizational goals
Help team-lead in achieving team’s revenue using AI/ML & cloud skills
Building & Refine AI/ML approach and deploy model over a Cloud
Achieve greater model lifts
Upskilling
Compulsorily being Hands-on
Core Competencies, Knowledge, Experience
Proven expertise with a variety of Machine Learning and Deep Learning techniques across structured and unstructured data sets
Strong hands on proficiency in statistical packages and ML libraries (e.g. Python, R, Spark, SQL, Visualization tools)
Cloud Computing & Architectural Planning - AWS ( EC2, S3,EMR,etc)
Deep Learning Frameworks: Caffe, Keras, Theano, Tensorflow, or Torch
Experience working on Big Data technologies (e.g. Hadoop MR, Hive, NoSQL, Spark, Kafka, Graph Databases etc.)
Experience in development of interactive dashboards or visualization Javascript and JavaScript libraries, ggplot, Shiny apps, etc.
Self-Starter, Motivated, organize, and excellent communicator
Ability to work in cross functional teams to translate business issues into potential analytics solutions
Good Problem solving & Analytical Skills
Quick learner and adapting to changing business needs
Must Have Technical / Professional Qualifications
Graduate or Master's degree or PHD in Statistics or Economics or Engineering or a quantitative discipline from top ranked universities with exposure to AI/ ML/ Data Mining
Any Certification in Machine Learning / Deep Learning - Artificial Intelligence / Data Science
Preferred Certifications in AI/ML and AWS Cloud
Vodafone Idea Limited (formerly Idea Cellular Limited)
An Aditya Birla Group & Vodafone partnership

Work arrangement
No

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