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Chief Analytics Office (CAO) Data Scientist

Chief Analytics Office (CAO) Data Scientist

IBM

7 - 12 years

25 - 30 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

data scientist python project management data analytics data analysis neural networks ai machine learning sql analytics deep learning tensorflow data science data cleaning regression pytorch data visualization programming

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview:

As a Data Scientist in IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations.

Key Responsibilities:

Technical Execution and Leadership:

Develop and deploy AI models and data analytics solutions.
Support the implementation and optimization of AI-driven strategies per business stakeholder requirements.
Help refine data-driven methodologies for transformation projects.

Data Science and AI:

Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
Learn and utilize cloud platforms to ensure the scalability of AI solutions.
Leverage reusable assets and apply IBM standards for data science and development.

Project Support:

Lead and contribute to various stages of AI and data science projects, from data exploration to model development.
Monitor project timelines and help resolve technical challenges.
Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.

Collaboration:

Ensure alignment to stakeholders’ strategic direction and tactical needs.
Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
Contribute technical expertise to cross-functional teams.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Education:

Experience:

2+ 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
Experience with AI technologies through coursework or projects

Technical Skills:

Proficiency in SQL and Python for performing data analysis and developing machine learning models
Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch
Experience with cloud-based platforms and data processing frameworks
Understanding of large language models (LLMs)
Familiarity with IBM’s watsonx product suite
Familiarity with object-oriented programming

Analytical Skills:

Strong problem-solving abilities and eagerness to learn
Ability to work with datasets and derive insights

Other Requirements:

Good communication skills, with the ability to explain technical concepts clearly
Enthusiasm for learning and applying new technologies
Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment
Successful completion of Coding Assessment

Preferred technical and professional experience

Advanced degree strongly preferred.

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Chief Analytics Office (CAO) Data Scientist