Sr Analyst, Data Science

• Develop and enhance pricing optimization models using statistical machine learning and Generative AI techniques.
• Analyze pricing elasticity to understand customer behavior and forecast business impact.
• Build fine-tune and deploy Generative AI/LLM-based models (e.g. for scenario simulation automated insights or decision support).
• Use AWS SageMaker for scalable model development training deployment and monitoring.
• Apply Bayesian modeling approaches to quantify uncertainty support strategic pricing decisions and improve prediction robustness.
• Integrate GenAI tools/frameworks (e.g. LangChain Hugging Face prompt engineering LLM-based automation) into pricing workflows.
• Work cross-functionally with engineering product and business teams to embed data-driven insights into operational processes.
• Communicate complex findings clearly to both technical and non-technical stakeholders.
• Continuously explore new GenAI and ML techniques to enhance solution accuracy scalability and automation.

Qualifications :

• Bachelors or Masters degree in Data Science Statistics Mathematics Economics or related fields.
• 25 years of hands-on experience in Data Science including pricing analytics or predictive modeling.
• Strong foundation in Generative AI with experience in LLM fine-tuning embeddings or workflow orchestration.
• Expertise in Bayesian modeling and applied machine learning.
• Proven experience with AWS SageMaker for model lifecycle management.
• Strong programming skills in Python (preferred) or R.
• Experience with GenAI frameworks and libraries (e.g. LangChain Hugging Face Transformers PyTorch TensorFlow).
• Proficiency with data and statistical libraries such as NumPy Pandas PyMC3 (or similar).
• Strong analytical problem-solving and communication skills.
• Ability to work in a fast-paced environment and handle multiple projects.
   

  Preferred Qualifications

• Experience in A/B testing econometrics or other experimentation techniques.
• Exposure to other cloud platforms (Azure GCP).
• Experience in client-facing roles or working with cross-functional teams.
• Knowledge of AWS Data Analytics Specialty certification is a plus.

Remote Work :

No

Employment Type :

Full-time