Data Scientist - Mumbai, India - Jio Platforms Limited

    Jio Platforms Limited
    Jio Platforms Limited Mumbai, India

    1 week ago

    Default job background
    Full time
    Description

    Company Overview

    Jio Platforms Limited is the force behind the meteoric rise of India's leading telecom operator Jio with 400 Million+ customers. We provide solutions for both customers (B2C) and enterprises (B2B) through a wide range of digital apps and services. Our expertise extends to 5G solutions, AI/ML platforms, cloud infrastructure, and more. With a dedicated team of employees, we strive to deliver functionality, usability, engagement, scale, and loyalty.

    Job Overview

    We are looking for a skilled Data Scientist to join our team at Jio Platforms Limited. As a Data Scientist, you will be responsible for analyzing complex datasets, developing machine learning models, and providing valuable insights to drive business growth. This is a mid-level position with 4 to 6 years of experience. The role is based in Mumbai, Maharashtra, India and is a full-time position.

    Qualifications and Skills

    • 4 to 6 years of experience as a Data Scientist or in a similar role
    • Strong programming skills in Python and proficiency in SQL
    • Experience with deep learning frameworks and techniques
    • Knowledge of natural language processing (NLP) and machine learning algorithms
    • Solid understanding of statistics and its applications in data analysis
    • Familiarity with big data analytics platforms and tools
    • Ability to solve complex problems and think analytically
    • Excellent communication and data storytelling skills

    Roles and Responsibilities

    • Analyze and interpret large, complex datasets to identify trends and patterns
    • Develop advanced machine learning models to address business challenges
    • Collaborate with cross-functional teams to integrate data-driven solutions into products and services
    • Utilize statistical techniques and algorithms to analyze structured and unstructured data
    • Apply natural language processing (NLP) techniques to extract insights from textual data
    • Work with big data platforms and tools to process and analyze large datasets
    • Create data visualizations and reports to communicate findings to stakeholders
    • Stay updated with the latest advancements in data science and machine learning