Sr Data Scientist

Blend; Hyderabad; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Blend, a premier AI services provider in Hyderabad, seeks a Senior Data Scientist to design pricing optimization and elasticity solutions using Bayesian methods and AWS SageMaker. You will collaborate with clients and stakeholders to deploy models in the cloud, analyze results, and iterate on strategies to maximize revenue and competitive advantage.

Candidates should have 4–6 years of DS experience, strong Python or R skills, and a track record of translating complex analyses into actionable

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, or related field.
• 4+ years in data science with pricing optimization and elasticity modeling.
• Expertise in Bayesian modeling and ML techniques.
• Experience with AWS SageMaker for model development, deployment and monitoring.
• AWS Certified Data Analytics – Specialty is a plus.
• Strong Python or R skills.
• Experience with AWS and SageMaker.
• Proficiency with NumPy, Pandas, PyMC3 or similar.
• Excellent problem-solving and analytical thinking.
• Ability to work in a fast-paced environment and manage multiple projects.
• Strong communication skills to explain complex concepts to non-technical audiences.

Responsibilities

• Develop pricing optimization models using statistical and ML techniques.
• Analyze pricing elasticity to predict consumer response.
• Deploy ML models using AWS SageMaker in a cloud environment.
• Utilize Bayesian modeling to inform decision-making and quantify uncertainty.
• Collaborate with cross-functional teams to integrate insights.
• Communicate results clearly to technical and non-technical stakeholders.
• Explore new modeling approaches to improve accuracy and efficiency.

Skills

Pricing optimization

Elasticity modeling

Bayesian modeling

Statistics

Machine learning

Python

R

Communication

Education

Bachelor's or Master’s in Data Science/Statistics/Mathematics/Economics

Tools

AWS SageMaker

PyMC3

NumPy

Pandas

Job 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 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 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 : 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 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.

Additional Information

• 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.