We are seeking a highly skilled 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.
- Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
- 3+ 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.
