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:Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred
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 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
