Senior Data Scientist
Posted 2 weeks ago by 1754117046
Negotiable
Outside
Hybrid
USA
Summary: The Senior Data Scientist role at CF involves leading new projects and contributing to existing ones within the Data Science team focused on GenAI. The position requires expertise in NLP, AI/ML, and data engineering to develop solutions and translate complex AI concepts for non-expert audiences. Key projects include developing scripts for natural language processing. Candidates should possess strong SQL and Python skills, along with experience in data modeling and API integration.
Key Responsibilities:
- Lead new projects and contribute to existing projects in the GenAI function.
- Develop scripts for natural language processing.
- Provide solutions based on NLP, AI/ML, and data engineering expertise.
- Translate AI concepts for non-expert audiences.
Key Skills:
- NLP experience.
- AI/ML experience.
- Strong understanding of data engineering.
- SQL scripting experience.
- Data modeling and relational database structure experience.
- Experience with indexing data.
- Familiarity with NLP techniques (semantic parsing, code to text generation, transformation, and text summarization).
- Understanding of LLMs and their marketplace applications.
- Prompt engineering experience.
- API integration experience.
- Python scripting skills.
- Ability to explain AI concepts clearly to non-experts.
Salary (Rate): undetermined
City: Reston
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
the Data Science team at CF that is in charge of the GenAI function.
This person will act as primary source on new project as well as join several existing projects. Really needs to have NLP exp, AI/ML exp and a strong understanding of data engineering. Needs to be able to bring solutions to table.
First primary project (Very early stages but some groundwork has been laid): Scripts to natural language
Must haves: SQL scripting exp, data modeling / relational database structure, exp with indexing data, familiarity with NLP (semantic parsing, code to text generation, transformation and text summarization), understanding of LLMs (what's in marketplace, difference between and how they are used), Prompt engineering, exp with API integration, Python scripting, be able to translate the AI concepts to an audience that is not AI intelligent (needs to be able to explain in clear fashion
Nice to have: Healthcare BG, Fine tuning of LLMs, Embedding, RAG and Agentic AI (exposure to it), integration with different platforms and ability to work across the enterprise with multiple different working groups and AWS exp...