Agm - Data Scientist

Job Req ID: 42461- Location: Mumbai, IN- Function: Marketing/Digital- About:

- 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.

**Role**

Data Scientist

**Job Level/ Designation
M2

**Function / Department**

Big Data and Advanced Analytics - Marketing

**Location**

Mumbai Corporate

**Job Purpose**

At VI, data drives all of our decision-making. This role in the Big Data and Advanced Analytics gives an excellent opportunity to solve real business problems working on massive and varied data sets.

Data Scientist Responsibilities
- 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

**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

**Years of Experience**

2 - 7 years of relevant work experience

**Industries to look from**

Telecom, IT, Retail, Bank, Consulting

**Ideal Organizations to look from**

Any

**Direct reports**

VP - Big Data and Advanced Analytics, Marketing

**Vodafone Idea Limited** (formerly Idea Cellular Limited)
An Aditya Birla Group & Vodafone partnership