Chief Analytics Office (cao) - Data Scientist Job in International Business Machines

Chief Analytics Office (CAO) - Data Scientist

Location: Bangalore, Karnataka, India

Job Type: Full-Time

Experience Level: 2-4 years

Company: IBM Chief Analytics Office (CAO)

Introduction:

At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact.

Role Overview:

As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution.

Key Responsibilities:

Technical Execution and Leadership:

• Develop and deploy AI models and data analytics solutions.
• Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements.
• Refine data-driven methodologies for enterprise transformation projects.

Data Science and AI:

• Design, implement, and optimize machine learning solutions and statistical models.
• Perform end-to-end data analysis, from problem formulation through to deployment.
• Ensure the scalability of AI solutions by leveraging cloud platforms.
• Apply IBM s data science standards and reusable assets to ensure quality and consistency.

Project Support:

• Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment.
• Monitor project timelines and assist in resolving any technical challenges.
• Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs.

Collaboration:

• Work closely with stakeholders to ensure alignment with strategic goals.
• Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
• Provide technical expertise to cross-functional teams, fostering a collaborative environment.

Required Education and Experience:

Education:

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.
• An advanced degree is strongly preferred.

Experience:

• 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions.
• Experience with data cleaning, data analysis, A/B testing, and data visualization.
• Hands-on experience with AI technologies through coursework or projects.

Required Technical Skills:

Programming and Data Analysis:

• Proficiency in SQL and Python for data analysis and developing machine learning models.
• Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch).

Cloud Platforms & Data Processing:

• Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks.

Specialized Knowledge:

• Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite.
• Familiarity with object-oriented programming (OOP) principles.

Analytical and Soft Skills:

• Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets.
• Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels.
• Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment.

Preferred Experience:

Advanced Degree:

• A Master s degree in a related field is strongly preferred.

Why IBM?

• Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques.
• Collaboration: Be part of a collaborative environment with a global team of AI experts.
• Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field.
• Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities.

Ready to make an impact on AI-driven transformations?

Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations.