Sr Advanced Data Scientist

KEY RESPONSIBILITIES 

• Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions. 

• Translate business requirements into technical specifications for data science initiatives. 

• Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business. 

• Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency. 

• Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability. 

• Design agentic AI architectures with prompt engineering and rule‑based automation to identify root causes, recommend actions, and continuously refine business‑aligned solutions. 

• Develop and implement advanced AI models and algorithms to analyze complex datasets. 

• Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions. 

• Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle. 

YOU MUST HAVE 

• 6+ years of experience in data science, machine learning, or a related field. 

• Proven experience in developing and deploying AI models and algorithms. 

• Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking. 

• Strong programming skills in languages such as Python or R. 

• Strong project management and organizational abilities 

• Strong written and spoken communication skills in English. 

WE VALUE 

• Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field. 

• Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies. 

• Strong foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling. 

• Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows. 

• Experience preparing and analyzing multimodal data (text, images, audio, PDFs) and visualizing insights using modern data visualization tools. 

• Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast-paced, cross-functional teams