Data Scientist – Machine Learning

February 27, 2026
Application ends: May 26, 2026
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Job Description

Role Overview :

As a Data Scientist , you will be at the forefront of developing and deploying cutting-edge AI solutions. You will collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to translate complex business problems into actionable data-driven insights. Your work will directly impact clients by enabling them to make smarter decisions, optimize operations, and gain a competitive edge through the power of data and AI.

Key Responsibilities :

– Develop and implement machine learning models, including LLMs and deep learning algorithms, to address specific business challenges for IBM’s clients.

– Conduct in-depth data analysis and feature engineering to extract meaningful insights and improve model performance.

– Design and execute experiments to validate model accuracy and identify areas for improvement.

– Communicate findings and recommendations to technical and non-technical audiences through clear and concise presentations and reports.

– Collaborate with engineering teams to deploy and scale machine learning models into production environments.

– Stay up-to-date with the latest advancements in data science, machine learning, and AI, and apply them to solve real-world problems.

– Contribute to the development of innovative data science solutions and intellectual property for IBM.

Required Skillset :

– Demonstrated ability to develop and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).

– Proven experience in natural language processing (NLP) and large language models (LLMs).

– Strong understanding of statistical modeling, data mining, and data visualization techniques.

– Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

– Ability to translate complex technical concepts into clear and concise explanations for non-technical audiences.

– A Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

– Adaptability to work in a dynamic environment and manage multiple projects simultaneously.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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