
Senior Data Scientist
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
We are seeking a highly skilled Senior Data Scientist with expertise in pricing optimization, pricing elasticity, and AWS SageMaker to join our dynamic team in Hyderabad. The ideal candidate will possess a strong foundation in Statistics and Machine Learning, with a specific focus on Bayesian modeling. You will collaborate closely with clients to develop advanced pricing strategies, utilizing state-of-the-art tools like AWS SageMaker to optimize business outcomes and enhance revenue.
Key Responsibilities:
- Lead the development of pricing optimization models using statistical and machine learning techniques to guide strategic decisions.
- Analyze pricing elasticity to forecast consumer responses to price adjustments, aiming to maximize client revenue and market share.
- Implement and deploy machine learning models via AWS SageMaker for scalable performance in cloud environments.
- Apply Bayesian modeling to support informed decision-making by providing insights into model uncertainty and predictions.
- Collaborate with cross-functional teams to embed data-driven insights into business operations.
- Clearly communicate complex findings to both technical and non-technical stakeholders.
- Continuously explore new modeling approaches and tools to enhance the 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 are preferred.
- A minimum of 5 years of hands-on experience in data science, with a specialization in pricing optimization and elasticity modeling.
- Expertise in Bayesian modeling and advanced machine learning techniques.
- Proven experience with AWS SageMaker for model development, deployment, and monitoring.
- Proficiency in Python (preferred) or R programming.
- Experience with cloud platforms, particularly AWS and SageMaker.
- Strong command of statistical analysis tools and libraries such as NumPy, Pandas, and PyMC3.
- Excellent problem-solving and analytical thinking capabilities.
- Ability to thrive in a fast-paced environment and manage multiple projects effectively.
- Exceptional communication skills, with the ability to articulate complex concepts to diverse audiences.
Preferred Qualifications:
- Experience with A/B testing, econometrics, or other statistical experimentation methods.
- Familiarity with other cloud computing platforms like Azure or GCP.
- Experience in cross-functional team environments and client-facing roles.
Additional Information:
- Work on cutting-edge technology in a vibrant setting.
- Gain exposure to a wide array of industries and projects.
- Benefit from a collaborative, inclusive culture with ample opportunities for professional growth and development.
Work Location: Hyderabad
Company
Blend360
Blend is a premier AI services provider dedicated to co-creating impactful solutions for its clients. We leverage data science, AI, technology, and human expertise to drive innovation and tackle signi...