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.

Strategy & 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 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:

Strategic, Communication, and Project

Skills:

Strategic thinking and business acumen.
Strong problem-solving abilities.
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.

Chief Analytics Office (CAO) - Data Scientist

S&C - GN - CFO EV - RC - Analyst