**Introduction** We are seeking an Assistant Data Scientist to assist in the development and implementation of advanced data solutions that drive strategic initiatives. The candidate would join the analytics team in the CIO’s AI, Automation and Data Platform group. The Assistant Data Scientist will be responsible for leveraging IBM’s watsonx products as well as open-source solutions and latest technology to enable AI and generative AI solutions. Responsibilities will include supporting Senior Data Scientists and CIO leadership to enable data driven business outcomes and actionable insights. **Your role and responsibilities** The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You'll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development. Key Responsibilities: Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making. Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends. Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling. Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges. ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management. Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing. Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration. AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives. **Required technical and professional expertise** * Work closely with data engineers to ensure data availability, quality, and integration for data science initiatives * Extract, compile, and validate data, conducting analysis using standard analytic and/or data science tools and techniques * Work with senior data scientists and CIO leadership on analysis projects and support their data needs * Assist in the development of automated reports and dashboards * Continuously explore emerging technologies and methodologies in AI, machine learning, and data science to accelerate IBM CIO transformation **Preferred technical and professional experience** * 3+ years’ experience with a programming language and/or statistical tool (R or Python preferred) * 3+ years’ experience working with data visualization or dashboarding tools (Cognos Analytics or Tableau) * 3+ years’ experience with core statistical analysis skills (e.g., linear regression, logistic regression, k-means clustering, significance testing, etc.)