Senior Data Scientist II

Compunnel, Inc.

Dallas (TX)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

A leading technology company located in Dallas, Texas, is seeking a Data Scientist or ML Engineer with a strong background in AI and machine learning. The role focuses on leading the development of advanced AI models and collaborating across teams to deliver effective solutions. Candidates should possess 3-5+ years of relevant experience and a Masters or PhD. This position offers the opportunity to mentor junior team members and engage with product leaders in a dynamic environment.

Qualifications

  • 3-5+ years of professional experience in a data-focused role.
  • Experience in multimodal environments is a plus.

Responsibilities

  • Lead development of AI and machine learning models.
  • Work closely with data scientists and engineers.
  • Collaborate with teams to align solutions with business goals.
  • Build models and create AI features.
  • Mentor junior data scientists.
  • Work with product leaders on data science solutions.

Skills

Experience as a Data Scientist or ML Engineer
Understanding of LLM integration
Deep understanding of RAG
Strong in Python

Education

Masters or PhD

Tools

AWS

Job description

Requirements
  • 3-5+ years of professional experience as a delivery-focused Data Scientist or ML Engineer
  • Understand how LLMs integrate to complex systems
  • Deep understanding of RAG
  • Strong in Python
  • Masters or PHD
Preferred Qualifications
  • AWS
  • Coming from a multimodal environment
Responsibilities
  • Leading the development of advanced AI and machine learning models to solve complex business problem
  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
  • Building models, performing analytics, and creating AI features
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices
  • Working with product leaders to apply data science solutions
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