In the IBM Chief Analytics Office, drive the future of AI and data science in large-scale enterprise transformations by implementing data-driven solutions that align with business goals and improve decision-making, solve complex problems, and drive business growth.
Requirements
- Proficiency in SQL and Python for performing data analysis and developing machine learning models.
- Experience and/or coursework in statistics, machine learning, generative and traditional AI.
- 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.
- Familiarity with cloud-based platforms and data processing frameworks.
- Understanding of large language models (LLMs).
- Familiarity with object-oriented programming.
- Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
Responsibilities
- Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
- Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
- Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
- Collect, clean, and preprocess structured and unstructured datasets.
- Help refine data-driven methodologies for transformation projects.
- Learn and utilize cloud platforms to ensure the scalability of AI solutions.
- Leverage reusable assets and apply IBM standards for data science and development.
Other
- High School Diploma/GED
- Pursuing a Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
- Excellent communication skills, with the ability to explain technical concepts clearly.
- Independent and team-oriented.
- Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
- Growth mindset.
