Data Scientist (Python, Azure ML)

• Develop and implement machine learning models (e.g., propensity, segmentation, customer lifetime value).
  
• Apply machine learning algorithms like GBM and random forest to solve business problems.
  
• Utilize NLP techniques for text analysis, including topic modeling.
  
• Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.
  
• Leverage Azure ML for building, training, and deploying models.
  
• Work on GenAI initiatives and integrate advanced AI technologies where applicable.
  
• Present findings and insights to both technical and non-technical audiences.
  
• Ensure timely delivery of high-priority projects with quick turnaround, often within a week.
  

Required Skills :

• Expertise in Python and Azure Machine Learning.
  
• Strong understanding of machine learning algorithms (e.g., GBM, random forest).
  
• Experience in machine learning modeling: propensity models, segmentation models, customer lifetime value, collaborative filtering.
  
• Hands-on experience with NLP, topic modeling, and text analytics.
  
• GenAI experience is a plus.
  
• Strong problem-solving skills with the ability to independently analyze and provide solutions.
  
• Excellent communication and presentation skills.
  
• Quick learner with the ability to comprehend and deliver in fast-paced environments.