GM - Data Scientist

Role

Senior Data Scientist

Job Level/ Designation

M3/GM – Senior Data Scientist

Years of Experience

7 - 15 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

1. Create business models to impact the revenue and ARPU of the customers using Predictive Modelling, Artificial Intelligence, Machine Learning and cloud technologies by managing a team of data scientist.

2. Hands on expertise in Predictive Modelling, Artificial Intelligence, Machine Learning and cloud technologies.

3. Architect and implement cutting-edge Generative AI solutions and autonomous Agentic AI frameworks to automate complex customer and operational workflows
4. Interacting with key Business Stakeholders & identifying pain points.
5. Building Data Science approach & roadmap for identified business problem statement.
6. Construct, optimise, and maintain robust data pipelines and production-grade ML pipelines (MLOps) for real-time and batch processing.

7. Work closely with data engineers to transform massive, unstructured telecom datasets into clean feature stores. Cloud Architecture & Systems

8. Expertise in writing efficient, modularized and standardized code in python and R           
8. Experience of working with AWS tools and technologies is preferred.
9. 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.                                                                   

10. Excellent understanding of version control and best practices.                                                                  
11. Peoples person, while being great team member exhibits mentoring attitude
12. Well versed with writing efficient SQL scripts for data acquisition and data aggregation
13. Experience 2-3 Managing & mentoring a team of Data Scientist & Task Allocation

Key Result Areas/Accountabilities

1. Self-Starter, Motivated, organize, and excellent communicator
2. Compulsorily being Hands-on
3. Persistence and ability to think logically and independently
4. Quick learner and adapting to changing business needs

Core Competencies, Knowledge, Experience

1. Proven expertise with a variety of Machine Learning and Deep Learning techniques across structured and unstructured data sets
2. Strong hands on proficiency in statistical packages and ML libraries (e.g. Python, R, Spark, SQL, Visualization tools)
3. Cloud Computing & Architectural Planning - AWS ( EC2, S3,EMR,etc)
4. Deep Learning Frameworks: Caffe, Keras, Theano, Tensorflow, or Torch
5. Experience working on Big Data technologies (e.g. Hadoop MR, Hive, NoSQL, Spark, Kafka, Graph Databases etc.)
6. Experience in development of interactive dashboards or visualization Javascript and JavaScript libraries, ggplot, Shiny apps, etc.
7. Self-Starter, Motivated, organize, and excellent communicator
8. Ability to work in cross functional teams to translate business issues into potential analytics solutions
9. Good Problem solving & Analytical Skills
10. Quick learner and adapting to changing business needs

Must have technical / professional qualifications

1. Graduate or Masters degree or PHD in Statistics or Economics or Engineering or a quantitative discipline from top ranked universities with exposure to AI/ ML/ Data Mining

2. Any Certification in Machine Learning / Deep Learning - Artificial Intelligence / Data Science

3. Preferred Certifications in AI/ML and AWS Cloud