Lead / Manager Data Scientist

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

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.

Qualifications

Experience : 7 to 12 Years

Preferred Qualifications

Additional Information

Skills Required

Numpy, Machine Learning, statistical analysis tools , Pandas, Python