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Senior Analyst-Data Science
Senior Analyst-Data Science-March 2024
Bengaluru
Mar 28, 2026
ABOUT DELL TECHNOLOGIES
Dell Technologies is a leader in digital transformation, developing technologies that drive human progress.
10,000+ employees
Telecom, Technology
VIEW COMPANY PROFILE >>
About Senior Analyst-Data Science

  As a Sr. Analyst, you will have a crucial role in shaping our data-driven decision-making process. This role involves applying advanced knowledge of Generative AI models, Large Language Models (LLMs), Deep Learning, and Reinforcement Learning principles. The candidate will be required to develop impactful data models and predictive algorithms, create compelling recommendations based on data insights, lead partnerships with the academic and business community, and influence strategic decisions. We are looking for a seasoned data scientist who can transform complex data into actionable insights, lead challenging AI projects, and inspire team members with their deep expertise and innovative approach.

  Join us to do the best work of your career and make a profound social impact as a Senior Analyst on our Data Science Team in Bangalore, India

  Take the first step towards your dream career.

  Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

  What you will do:

  •Design and implement machine learning models, including generative models and large language models (LLMs), and deep learning architectures.

  •Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured data, generating actionable insights and solutions.

  •Analyze complex datasets, identify patterns, and use statistical analysis to validate data and ensure the accuracy of the models.

  •Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.

  •Collaborate with cross-functional teams to understand their needs and devise possible solutions using data modeling and analysis.

  Preferred Skills:

  •Bachelor’s, Master's in Computer Science, Data Science, Statistics, or a related field.

  •3-5 year of experience as a Senior Data Scientist or similar role in a data-driven environment.

  •Deep understanding of Generative AI models, Large Language Models (LLMs), Deep Learning, and Traditional Machine Learning.

  •Experience with machine learning frameworks ( PyTorch) and libraries.

  •Proficient in programming languages such as Python

  Desirable Skills :

  •Certifications in AI, ML, Kubernetes, or cloud environments are a plus.

  •Experience with CI/CD pipelines, Jenkins, Git, or similar tools. Familiarity with MLOPs techniques and framework

  Who we are

  We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

  Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

  Application closing date: 31 Jan 2024

  Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here (https://jobs.dell.com/equal-employment-opportunity-policy-statement) .

  Job ID: R234938

  Dell’s Flexible & Hybrid Work Culture

  At Dell Technologies, we believe our best work is done when flexibility is offered.

  We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations (https://jobs.dell.com/locations) page.

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