onsite
Principal Data Scientist - A11
Data Scientist
Lead end‑to‑end data science initiatives, designing and deploying cloud‑based ML solutions, including generative AI and advanced time‑series models, to deliver actionable insights and scalable products.
About the role
Key Responsibilities
- Architect and implement robust, production‑grade ML pipelines that integrate statistical models, classical algorithms, and modern AI techniques.
- Develop and deploy generative AI solutions such as LLM‑based RAG systems and conversational data interfaces on cloud platforms.
- Lead cross‑functional teams in translating business problems into data‑driven experiments, ensuring reproducibility and scalability.
- Mentor junior data scientists, fostering best practices in model validation, versioning, and performance monitoring.
- Collaborate with engineering and product stakeholders to translate insights into actionable product features.
Requirements
- 5–8 years of professional experience in data science and machine learning.
- Expertise in Python, SQL, and cloud services (AWS, GCP, or Azure).
- Proven track record building end‑to‑end ML pipelines and deploying generative AI use cases.
- Strong foundation in statistical methods, regression, and time‑series analysis.
- Excellent communication skills and ability to translate complex models into business value.
Skills
pythonsqlmachine learninggenerative ai