Data Scientist

2 weeks ago

Lake St Louis, United States Saxon Global Full time

Local candidates to St. Louis only.

Data Scientist - Information Retrieval Scientist (NLP/Python/LLM)

Client Location

St. Louis, MO

Hybrid - 3 days onsite

MUST BE LOCAL To St. Louis. (No Relocation)

Term:

3/23/25 (may extend)

Work Status:

GC/USC required

Rate:

$81W2

Required

3+ years Work experience - Python

3+ years Work experience - NLP (Natural Language Processing) related to AI

3+ years Work experience - LLM (Large Language Models )

Project will be working with Chat GPT

Project working to Gen AI based model development for text and/or images.

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. The NLP Data Scientist will design and test algorithms, conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches for Text and Image Data. Required Skills:

  • Ph.D. (or MS with 4+ 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.
  • Why is this position open? Growth on the team, turn over, skills gap? Growth on the team
  • What is a day like in this role? What 3-5 responsibilities will occupy their time? Hands on Gen AI based model development for text and/or images.
  • Who will this person work with on a daily basis? B Giritharan
  • Tell me about the team dynamic/culture. - Diverse global team, working on innovative projects.
  • What are the must haves to be successful in this role? -- Experience with working with NLP, Information Retrieval models using Python. Very strong python programming experience.
  • What is the long term plan for the role?
  • What will make this opportunity stand out for potential candidates? - Opportunity to work on new innovative projects with team of experts.
  • Is this more maintenance or new development work? Development work
  • What kind of soft skills are you looking for? Team player, self-motivated, and good communication skills
  • Are you open to candidates relocating (on their own) or do you prefer local candidates? Both are good.
  • What is the minimum number of years of experience required for this position? Phd + 1 year experience or MS + 4 years experience.
  • Any certifications required for this role? No
  • Is there a possibility for an extension of this assignment? Depending on candidates contribution in the first contract, yes
  • Will this position convert to a FTE Role? With DSO in play, difficult to say. In the past we have converted contractors in our team to FTE.
  • What is the interview process, will you schedule a phone screen, video conference or in person interviews? 30 mins HM call, followed by 90 mins tech interview and presentation with the team.

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