Job Description :

We are seeking a highly skilled Lead 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 modelling. 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 modelling 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 modelling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications :

Experience : 7+ Years

- Bachelors or masters degree in data science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.

- 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modelling.

- Expertise in Bayesian modelling 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.