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Chief Analytics Office (CAO) - Data Scientist

Chief Analytics Office (CAO) - Data Scientist

IBM

2 - 4 years

25 - 30 Lacs

Bengaluru

Posted:3 hours ago| Platform:

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Skills Required

python project management artificial intelligence sql data science data analytics data analysis neural networks random forest machine learning data cleansing tensorflow ab testing pytorch statistical modeling data visualization statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview:
As a Data Scientist within 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 Experience:

2-4 yearsof 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 frameworkslinear 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 :

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 Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred
Advanced degree strongly preferred.* 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

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Chief Analytics Office (CAO) - Data Scientist