Role Overview
We are seeking a Data Scientist in the Insights & Product Analytics team for high-impact data science initiatives that convert diverse data into actionable insights and decision support. This role focuses on text analytics, unstructured data, and using creative ways to visualize and interpret data for research. You will work closely with stakeholders to optimize data mining techniques and improve the accuracy of insights using NLP, Machine Learning, Deep Learning, and LLM models.
Responsibilities
- Execute large scale high impact data science projects to extract, interpret, and visualize insights from structured and unstructured data.
- Collaborate with stakeholders to design and execute solutions using Machine Learning, Deep Learning, and Generative AI.
- Innovate in text analytics and develop creative approaches for interpreting complex datasets.
- Own high-visibility programs that translate business objectives into measurable results.
- Build text analytics and knowledge retrieval capabilities for large-scale unstructured data.
- Define standards for evaluation, guardrails, prompt engineering, and hallucination control.
- Enforce best practices in documentation, code reuse, and model lifecycle management.
- Ensure responsible AI practices covering data privacy, IP, safety, and auditability.
Requirements
- Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Mathematics, or related field.
- 3-6 years of experience in data science, AI, or ML roles.
- Expertise with LLM customization techniques such as RAG, tuning, and advanced prompting.
- Proven expertise in Python, NLP, and advanced ML/DL algorithms.
- Experience with cloud platforms like AWS or Azure.
- Proficiency in prompt engineering and responsible AI governance.
Skills
- Python
- NLP
- Machine Learning
- LLMs
- AWS
Benefits
- Competitive salary and generous paid time off policy.
- Group Medical Insurance and Parental Leave.
- Charity match program and Employee Assistance Program (EAP).
- Professional development and unlimited growth opportunities.