Chief Analytics Office (CAO) - Data Scientist

IBM-posted 8 months ago
Full-time • Entry Level
Hybrid • BANGALORE, IN
5,001-10,000 employees
Professional, Scientific, and Technical Services
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In the IBM Chief Analytics Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organizations.

  • 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.
  • 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.
  • 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.
  • 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.
  • Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred.
  • 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.
  • Experience with AI technologies through coursework or projects.
  • 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.
  • 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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