Data Scientist

2 weeks ago

Bengaluru, Karnataka, India IBM Full time

Introduction

As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options.

Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.


Your Role and Responsibilities

Responsibilities include:

  • Collecting and cleansing data from diverse sources for analysis, ensuring highquality and relevant datasets (structured and unstructured) for effective decisionmaking.
  • Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation.
  • Developing and implementing machine learning and deep learning models, including the adaptation of foundation models/LLMs to address specific business challenges.
  • Expertise in ML-Ops / AI-Ops
  • Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval.
  • Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and errorfree development environment.
  • Designing, creating, and supporting AIdriven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives.

Required Technical and Professional Expertise

  • Minimum 8+ years of experience in IT industry
  • Proficiency in Python programming, NLP techniques and experience using AI Framework (e.g. Hugging Face)
  • Knowledge of SQL and NoSQL database management.
  • Strong background in data science, statistics, mathematics, and analytical techniques.
  • Expertise in machine learning and deep learning methodologies, including an understanding of foundation models.
  • Familiarity with big data technologies and data engineering practices.
  • Experience with version control systems, particularly Git, and proficiency with GitHub for code collaboration and repository management.

Preferred Technical and Professional Expertise

  • Handson experience in data science for 8+ years with minimum of 3 years of experience in deep learning
  • Web development skills, including HTML, CSS, JavaScript, and React, for creating sophisticated, interactive datadriven interfaces.
  • Experience with cloud computing platforms (AWS/Azure/Google/IBM) to leverage advanced cloudbased services and infrastructure.
  • Excellent communication skills, crucial for effective teamwork, stakeholder engagement, and clear presentation of data insights and technical concepts.
  • Project management experience with a focus on agile methodologies, ensuring efficient, adaptive, and collaborative project execution.
  • Awareness and understanding of ethical considerations in data science and AI, ensuring responsible and fair use of data and AI technologies.

About Business Unit


IBM Global Business Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy.

IBM GBS partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.


About IBM

Location Statement
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.

IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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