# Data Scientist III **Company**: S&P Global **Location**: Hyderabad, Telangana **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Technology **Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Hyderabad-Telangana/Data-Scientist-III_327800-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b63ba2c9-c1e ## Description S&P Global is seeking a Data Scientist III (Grade 10) to join our Data Science & Modeling team. In this hybrid role, you will help build and optimize the data infrastructure that powers analytics and machine learning across the organization. **Responsibilities:** - Collaborate with stakeholders to understand data needs and translate them into actionable technical requirements. - Design, build, and maintain scalable data pipelines using modern tools and cloud platforms (such as AWS, Azure, or GCP). - Develop and maintain data infrastructure for analytics and machine learning, leveraging cloud-native technologies and services. - Improve data quality, lineage, and reliability, and troubleshoot issues across the data lifecycle. - Support the deployment and monitoring of analytics and ML solutions in production, working closely with data science and engineering peers. - Contribute to an Agile team environment, including documentation, code reviews, and iterative delivery. **Requirements:** - University degree in Computer Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). - 3+ years of hands-on programming experience, primarily in Python, with a strong focus on building, training, and evaluating machine learning and deep learning models. - Strong experience working with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Keras, scikit-learn), including designing and implementing neural network architectures. - Proven experience in computer vision techniques and applications, such as image/video processing, feature extraction, object detection, segmentation, and representation learning. - Experience developing end-to-end ML workflows, from data preparation and feature engineering through model training, validation, and deployment, with an emphasis on model performance, robustness, and maintainability. - Working knowledge of data storage and querying technologies (SQL and/or NoSQL) to support analytical and ML workflows. - Hands-on experience using cloud platforms (such as AWS, Azure, or GCP) for machine learning experimentation, training at scale, and model deployment. - Familiarity with distributed and accelerated computing concepts relevant to ML workloads (e.g., multi-GPU training, distributed training, or large-scale inference). - Experience collaborating closely with data engineers and platform teams to integrate models into production pipelines, while maintaining ownership of model logic and performance. - Exposure to workflow orchestration or experiment management tools (e.g., Airflow, MLflow, or similar) for reproducible ML pipelines is a plus. - Familiarity with version control systems (e.g., Git) and best practices for collaborative ML development. - Strong ability to communicate results, trade-offs, and limitations of ML models clearly to both technical and non-technical stakeholders. **What's in for you:** - Impactful Work: You'll play a key role in shaping the data infrastructure that powers advanced analytics and machine learning solutions across S&P Global. - Collaboration & Growth: Work alongside talented colleagues from data science, engineering, and business teams. - Cloud & Modern Tech: Gain hands-on experience with leading cloud platforms (such as AWS) and modern data tools. - Hybrid Flexibility: Enjoy a flexible work environment that supports both onsite collaboration and remote work. - Inclusive Culture: Be part of a diverse and inclusive team that values different perspectives and backgrounds. ## Skills ### Required - Python - Machine Learning - Deep Learning - Computer Vision - Cloud Platforms - Data Engineering - Agile Development ### Nice to have - Data Governance - Data Observability - Workflow Orchestration - Experiment Management Tools --- Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Hyderabad-Telangana/Data-Scientist-III_327800-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)