Data Scientist

  • Houston, TX
  • Posted 13 hours ago | Updated 1 hour ago

Overview

On Site
USD 59.00 - 64.00 per hour
Contract - Independent
Contract - W2

Skills

Large Language Models (LLMs)
Predictive Analytics
Data Analysis
Unstructured Data
Prompt Engineering
Optimization
Visualization
Dashboard
Presentations
Predictive Modelling
Natural Language Processing
Deep Learning
BERT
LangChain
Python
PyTorch
TensorFlow
Data Engineering
SQL
Snow Flake Schema
Cloud Computing
Machine Learning Operations (ML Ops)
Amazon SageMaker
Amazon S3
Amazon Redshift
Machine Learning (ML)
Collaboration
Git
Version Control
Workflow
Soft Skills
Business Acumen
Computer Science
Data Science
Microsoft Power BI
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

Summary

We are seeking a curious, proactive, and innovative Data Scientist with expertise in AI/ML and Large Language Models (LLMs) to design and deploy AI-driven solutions that deliver measurable business impact. This role involves working with LLMs, NLP, and deep learning techniques to build scalable models and translate complex insights into actionable strategies.

Key Responsibilities
  • AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs for predictive analytics and automation.
  • Data Analysis & Feature Engineering: Collect, process, and analyze structured/unstructured data; engineer features to optimize model performance.
  • NLP & Agent-Based Applications: Develop LLM-based AI solutions with prompt engineering, fine-tuning, and inference optimization.
  • Business Impact: Translate data science methodologies into actionable insights for stakeholders.
  • End-to-End Deployment: Implement MLOps best practices for scalable, reliable model deployment.
  • Visualization & Storytelling: Create dashboards and presentations to communicate findings to non-technical audiences.


Requirements

Required Skills
  • AI/ML Expertise: Predictive modeling, NLP, deep learning, LLM-based applications (e.g., GPT, BERT, LangChain).
  • Programming: Proficiency in Python; experience with PyTorch, TensorFlow, Hugging Face.
  • Data Engineering: Strong SQL skills; experience with Snowflake and data blending.
  • Cloud & MLOps: AWS SageMaker, S3, Redshift; ML pipeline automation.
  • Collaboration Tools: Git for version control and team workflows.

Soft Skills
  • Strong business acumen and ability to communicate technical concepts clearly.
  • Proactive, innovative mindset with ownership of end-to-end delivery.

Preferred Qualifications
  • Master's or Ph.D. in Computer Science, Data Science, or related field.
  • Experience with dashboarding tools (Power BI, Streamlit).
  • Familiarity with reinforcement learning and agent-based AI applications.


Technology Doesn't Change the World, People Do.

Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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