The NLP Data Scientist Virtual Assistant will be a leading contributor on a team bringing together advanced degrees and expertise solving toughest and most exciting data science challenges. The NLP Data Scientist Virtual Assistant mission is to mine, extract and organize information from the data collections to create user experiences to inform, enlighten, and delight customers. The NLP Data Scientist Virtual Assistant will have the potential to be fully remote (some states excluded). The NLP Data Scientist Virtual Assistant also builds high-quality, innovative, and fully performing models in compliance with coding standards and technical design and is responsible for development, writing code, troubleshooting, and documenting functionality.
The NLP Data Scientist Virtual Assistant Responsibilities:
- Use Natural Language Processing (NLP) methods and expertise to build models that extract and organize information from records.
- Build models that promote product development, customer success, and content creation across the business.
- Work with teams and partners across the company providing data science support for multiple projects.
- Advocate for a data-driven culture and push long-term value creation through development of outstanding data science capabilities.
The NLP Data Scientist Virtual Assistant Requirements
- Solid related professional experience
- Excellent project management and written skills
- Experience translating requirements from partners into detailed implementation plans
- Experience completing multiple data science projects end-to-end; from idea generation, objective formulation, to implementation and deliverables
- Experience understanding and implementing published models and methods for practical application and real-world problems.
- Strong proficiency in Python and related imaging tools and libraries, Java and multi-threaded programming preferred
NLP Data Scientist Virtual Assistant – US & Canada
Are you looking for a NLP Data Scientist Virtual Assistant? Take a look at our Job Descriptions Board for US & Canadian companies.
