Associate Data Scientist, D&T Requisition ID: 71610 Date: Oct 6, 2025 Location: IN Department: Digtl & Transfrmtion Description: **Job Summary** The Associate Data Scientist, Digital & Transformation will support a multidisciplinary team in designing and developing innovative data-driven analytical products and solutions. This role involves applying advanced analytics, data mining, machine learning, and emerging Generative AI techniques to address business challenges and drive measurable outcomes. **Essential Duties and Responsibilities** + Apply statistical, machine learning, and Generative AI techniques to address strategic business problems. + Retrieve, clean, and prepare structured, semi-structured, and unstructured data from diverse sources. + Support exploratory analysis, algorithm design, model development, and advanced analytics under guidance. + Contribute to building scalable, automated processes for data analysis, model validation, and deployment. + Assist in developing tools to monitor and evaluate model performance, accuracy, and fairness. + Create data-driven insights, dashboards, and visualizations for stakeholder communication. + Collaborate with internal experts and cross-functional teams to operationalize AI solutions. + Participate in research and prototyping with agentic AI frameworks (e.g., LangGraph, OpenAI Agents). + Perform other related duties as assigned. **Additional Responsibilities** **Education** + Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, or another quantitative discipline with a strong academic record. **Work Experience** + No min required 1+ years of related work experience required **Preferred Knowledge, Skills and Abilities** + Proficiency in Python for data manipulation, scripting, prototyping, and familiarity with AI-assisted coding. + Foundational to advanced experience with machine learning technologies and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). + Exposure to agentic AI frameworks (e.g., LangGraph, OpenAI Agents) and familiarity with agent patterns and their effective applications. + Solid understanding of AI system development, validation, and evaluation practices. + Experience with Jupyter notebooks, Anaconda environments, or similar tools for experimentation and workflow management. + Strong grasp of statistics and data science methods (e.g., regression, hypothesis testing, probability distributions). + Basic to intermediate knowledge of distributed systems, scalable computing approaches, and containerization (e.g., Docker). + Exposure to cloud platforms (Azure, AWS) and related AI services such as Azure ML, Azure AI Foundry/OpenAI platform, Azure Cognitive Services, and AI Search. + Familiarity with web services, microservices, and REST APIs, as well as building and working with data architectures. + Basic knowledge of BI/visualization tools (e.g., Power BI, Microsoft Fabric). + Understanding of modern computer vision techniques. + Product development mindset with the ability to work in fast-paced, agile environments. + Independent and creative approach to problem-solving with the ability to prioritize effectively and deliver with urgency. + Strong communication and collaboration skills in global and virtual team settings. **License and Certifications** **Travel Requirements** 10%: Up to 26 business days per year **Physical Requirements** Sedentary-Exerting up to 10lbs/4kgs of force occasionally, and/or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. **Additional Requirements** + Willingness to work in the 12:00 PM – 9:00 PM shift (global collaboration support).