Data Scientist - Revenue Growth Management

Revenue Growth Management-Data Scientist

• Must have worked with Data science, ML, Python and MLOps. • Design, build, and deploy Hyperscalers-based (Azure, AWS, GCP or Databricks) ML models, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics – Expert • Implementation of Generative AI models for business solutions and experience on Azure Open AI, AWS Bedrock or Vertex AI or open-source models – Expert • Invent, research, envision, design, solution and deliver AI/ ML applications at scale delivering measurable value • Build end-to-end AI/ ML solutions: Develop, refine, implement, customize and deploy state-of-the-art Machine Learning algorithms and systems, and AI models • Designing, developing, and researching Machine Learning systems, models, and schemas through data science and data analytics prototypes. • Continuous learning – Certifications.