Data Scientist with data analyst skills

ImpetusIT; Houston (TX); On-site; USD 60,000 - 75,000; Full time

Job summary

A leading technology staffing agency is looking for a Data Scientist in Houston who will design and train AI models, collaborate with teams, and analyze datasets. Key skills include Python, SQL, and experience with Large Language Models (LLMs). The role demands strong knowledge of cloud environments and AI optimization techniques, with a competitive salary range of $60,000 to $75,000 per year. This is a full-time position with a focus on Information Technology.

Responsibilities

• Design, train, and fine-tune Large Language Models (LLMs) for various applications.
• Collaborate with cross-functional teams to integrate AI into real-world applications.
• Analyze and preprocess massive datasets for AI-driven insights.
• Optimize foundation models and deploy AI models.

Skills

Large Language Models (LLMs)

SQL

Excel

Power BI

Python

TensorFlow

PyTorch

Hugging Face libraries

Transformer architectures

Attention mechanisms

Reinforcement learning

Cloud-based AI environments (AWS, Azure, or GCP)

AI model deployment

Optimization techniques

Job description

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This range is provided by ImpetusIT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60,000.00/yr - $75,000.00/yr

One of our staffing partners is helping a financial client hire a Data Scientist with data analyst skills

Salary offered $60-75k per year

Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.

Responsibilities:

• Design, train, and fine-tune Large Language Models (LLMs) for various applications
• experience with sql, excel, Powerbi
• Collaborate with cross-functional teams to integrate AI into real-world applications
• Analyze and preprocess massive datasets for AI-driven insights
• Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries
• Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
• Experience with fine-tuning and optimizing foundation models
• Familiarity with cloud-based AI environments (AWS, Azure, or GCP)
• Experience with AI model deployment and optimization techniques

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Information Technology
• Staffing and Recruiting

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