Position Details
About this role
Data Scientist on cross-functional product teams focusing on agentic AI and real-time information operations. You will turn customer needs into data science problems, prototype solutions, and scale them into production, collaborating with product, engineering, and customers.
Key Responsibilities
- Turn abstract needs into data science problems
- Build prototypes
- Productionize solutions
- Work with product/engineering/clients
- Contribute to product roadmap
Technical Overview
Strong background in ML/AI, NLP, statistical methods, experimentation, and working with large-scale datasets. Proficient in Python; experience with agentic AI and LangChain/LangGraph frameworks; productionization and version control; Agile processes.
Ideal Candidate
The ideal candidate is a senior data scientist with 3+ years in a product-focused environment, strong Python and ML/NLP experience, and hands-on work with agentic AI and LangChain/LangGraph frameworks. They should be able to translate customer needs into data science solutions and autonomously drive projects across a distributed team.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
No 3+ years data science experience, No Python proficiency, Inability to obtain clearance(eligible), Lack of experience with experimentation/causal inference, No experience with production-level software
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