Job Description

We are seeking a highly skilled Senior 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:

- 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 effective 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 : 4-6 Years

- Bachelor s or Master s degree in Data Science,



Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
- 4+ 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 quick-paced workplace 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist (Hyderabad)
🏢 Blend360 India
📍 Hyderabad