onsite
Principal Applied Data Scientist - Search and Browse NLP, Vector Search, LLMs - Target
Data Scientist
Lead the design and implementation of advanced search and browse solutions using NLP, vector search, and large language models. Drive data‑driven product improvements and mentor a team of data scientists.
About the role
Key Responsibilities
- Architect and develop end‑to‑end search and recommendation pipelines leveraging NLP, vector embeddings, and LLMs.
- Collaborate with product, engineering, and UX teams to translate business needs into scalable data science solutions.
- Design experiments, A/B tests, and performance metrics to evaluate model impact on search relevance and conversion.
- Mentor senior and junior data scientists, fostering best practices in model development, deployment, and monitoring.
- Stay current with emerging research in information retrieval, generative AI, and cloud‑native ML platforms.
Requirements
- Ph.D. or Master’s in Computer Science, Statistics, or related field with 8+ years of applied data science experience.
- Deep expertise in Python, NLP techniques, vector search frameworks (e.g., FAISS, Annoy), and large language model fine‑tuning.
- Proven track record deploying ML models at scale on cloud platforms such as AWS (SageMaker, Lambda, ECS).
- Strong analytical skills, ability to design rigorous experiments, and communicate insights to non‑technical stakeholders.
- Experience leading technical teams and driving cross‑functional collaboration in a fast‑paced environment.
Skills
pythonnatural language processingmachine learningaws