Diverse Lynx
Data Scientist
Diverse Lynx, St Louis, Missouri, United States,
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 experienceExpertise with NLP or InformationProficiency in Python or in another high-level programming languageExperience in developing statistical, and machine learning models for environmental and agronomical applicationsFamiliarity with LLMExperience analyzing and presenting complex data and proven problem-solving abilitiesStrong publication record in leading scientific journalsDesired Skills:Experience working with agricultural/biological scientific data is highly desiredDrive for translating business problems into research initiatives that deliver business valueCreativity 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.
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 experienceExpertise with NLP or InformationProficiency in Python or in another high-level programming languageExperience in developing statistical, and machine learning models for environmental and agronomical applicationsFamiliarity with LLMExperience analyzing and presenting complex data and proven problem-solving abilitiesStrong publication record in leading scientific journalsDesired Skills:Experience working with agricultural/biological scientific data is highly desiredDrive for translating business problems into research initiatives that deliver business valueCreativity 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.