Senior Data Scientist

Blend

Hyderabad

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Opportunity to work with cutting-edge technology

Collaborative work culture

Professional development opportunities

Job summary

A premier AI services provider is seeking a Senior Data Scientist in Hyderabad. The ideal candidate will leverage expertise in pricing optimization and Bayesian modeling using AWS SageMaker. Responsibilities include developing pricing strategies and analyzing consumer response to pricing changes. Requires 5+ years of data science experience. Competitive salary and opportunities for professional growth offered.

Qualifications

5+ years of hands-on experience in data science, with a focus on pricing optimization.
Expertise in Bayesian modeling and machine learning techniques.
Proven experience working with AWS SageMaker.

Responsibilities

Lead the development of pricing optimization models.
Analyze pricing elasticity to predict consumer response.
Deploy machine learning models using AWS SageMaker.

Skills

Pricing optimization

Statistical analysis

Machine Learning

Bayesian modeling

AWS SageMaker

Python

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics or related field

Tools

AWS

NumPy

Pandas

PyMC3

Job description

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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 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.

Experience : 5 to 7 Years

Work Location : Hyderabad

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

Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
5+ 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.

Seniority level