Data Scientist - St Louis, United States - Diverse Lynx

Description

NLP/Information Data Scientist

Location – Preferable St Louis, Missouri else Remote would also work

Job Description

NLP Data Scientist

Hybrid/Remote but do prefer local candidates

Description

We're seeking a talented and innovative NLP/Information Retrieval Scientist to join our team.

In this role, you will play a pivotal part in enhancing Large Language Models (LLMs) to provide more accurate, context-aware, and creatively curated responses with real-world applications.

As an NLP/Information Retrieval Scientist, you will develop and to improve the usability and creativity of our LLM responses.

You will collaborate closely with our multidisciplinary team of researchers and engineers to not only advance the technical aspects but also bring real-world relevance and creativity into our language models.

The successful candidate will use the latest innovations in NLP and LLM to propose software solutions to improve customer experience.

Required Skills

Ph.
D. with 6 years' experience or MS with 8-9 years of post-MS experience. Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or an Analytics discipline.
Plus 3 years of work experience
Expertise with NLP or Information
Proficiency in Python or in another high-level programming language
Experience in developing statistical, and machine learning models for environmental and agronomical applications
Familiarity with LLM
Experience analyzing and presenting complex data and proven problem-solving abilities
Strong publication record in leading scientific journals

Desired Skills:
Experience working with agricultural/biological scientific data is highly desired
Drive for translating business problems into research initiatives that deliver business value

Creativity in defining challenging exploratory projects

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.

All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

We promote and support a diverse workforce across all levels in the company.
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