Data Scientist

6 months ago

Kochi, 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 high-quality and relevant datasets (structured and unstructured) for effective decision-making.
- 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 error-free development environment.
- Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives.

Required Technical and Professional Expertise
- Minimum 7+ years of experience in IT industry using data science skills
- High 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.
- Are able to report and present results to a non-technical audience.

Preferred Technical and Professional Expertise
- Fine tuning of LLMs.
- Web development skills, including JavaScript and React, for creating sophisticated, interactive data-driven interfaces.
- Experience with cloud computing platforms (AWS/Azure/Google/IBM) to leverage advanced cloud-based 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.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

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