Senior / Principal Data Scientist - Dynamic Pricing || Pune

About Our Client

Leading MNC

Job Description

• Collaborate with a team to innovate and continuously improve dynamic pricing engine by integrating new data sources and model enhancements to optimize pricing strategies
• Apply data science techniques including machine learning, AI, and statistical modeling across multiple functional areas of the organization to drive improved decision making
• Serve as a highly qualified technical resource to Group Pricing Transformation management team and develop trust with high quality insights and deliverables.
• Create and track accuracy and performance metrics (both technical and business metrics) of models & tools
• Create, enhance, and maintain technical documentation, and present to scientists, engineers, and business leaders
• Experience with dynamic pricing and reinforcement learning techniques
• Experience with revenue / margin optimization using AI techniques
• Familiarity with retail operations and e-merchandising strategies
• Designing, building and automating all steps of Machine Learning (ML) industrialization workflow
• Automating business use cases and building integrated AI / ML systems to continuously operate it in production by collaborating with product / project managers and other stakeholders

The Successful Applicant

• 5+ years of experience with data scripting languages (, SQL, Python, R etc.,)e
• 3+ years of advanced algorithms experience in retail.
• At least 3 years of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
• Familiarity with coding frameworks and visualization tools ( PySpark)