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.

Experience : 7 to 12 Years 

• Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
• 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
• Expertise in Bayesian modeling and machine learning techniques.
• Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
• Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
• Strong programming skills in Python (preferred) or R.
• Experience with cloud platforms (AWS preferred), including SageMaker.
• Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
• Excellent problem-solving and analytical thinking skills.
• Ability to work in a fast-paced environment and manage multiple projects.
• Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

• Experience with A/B testing, econometrics, or other statistical experimentation methods.
• Familiarity with other cloud computing platforms (e.g., Azure, GCP).
• Experience working in cross-functional teams and client-facing roles.

• Opportunity to work with cutting-edge technology in a dynamic environment.
• Exposure to a diverse range of industries and projects.
• Collaborative and inclusive work culture with opportunities for growth and professional development.