Lead / Manager Data Scientist

We are seeking a highly skilled Lead / Manager Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes.

Key Responsibilities:

• Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
• Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
• Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
• Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
• Collaborate with cross-functional teams to integrate data-driven insights into business processes.
• Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
• Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.