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