NLP Data Scientist at Preferable St Louis Missouri else Remote would also work Full time Job in Saint Louis, Missouri United States | Snaprecruit

NLP Data Scientist at Preferable St Louis Missouri else Remote would also work Full time Job in Saint Louis, Missouri United States | Snaprecruit
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NLP Data Scientist at Preferable St Louis Missouri else Remote would also work

In Missouri United States

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NLP Data Scientist at Preferable St Louis Missouri else Remote would also work   

JOB TITLE:

NLP Data Scientist at Preferable St Louis Missouri else Remote would also work

JOB TYPE:

Full-time

JOB LOCATION:

Saint Louis Missouri United States

JOB DESCRIPTION:

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

o 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

Position Details

POSTED:

Nov 23, 2023

EMPLOYMENT:

Full-time

SNAPRECRUIT ID:

S169807-14311-11162023-39442372

LOCATION:

Missouri United States

CITY:

Saint Louis

Job Origin:

CEIPAL_ORGANIC_FEED

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Location Preferable St Louis, Missouri else Remote would also work
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.
o 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

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