Key Responsibilities: Data Analysis & Business Insight: Work closely with business stakeholders to understand and analyze data, deriving meaningful insights that drive strategic decisions. Storytelling with Data: Translate complex data into compelling stories that communicate the impact and value of your findings to both technical and non-technical audiences. Model Development & Deployment: Develop, test, and deploy machine learning models using Python and key ML frameworks like scikit-learn, TensorFlow, etc. Continuous Learning: Stay updated with the latest advancements in AI/ML technologies, with a particular focus on practical applications in GenAI. Collaborative Problem Solving: Collaborate with cross-functional teams to develop solutions that align with business objectives. Instructor Opportunities: Demonstrate a keenness to share your knowledge worldwide by taking on instructor roles, helping others learn and grow in the field of Data Science.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Senior Data Scientist Job in DataCouch at