Mondo
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist specializing in AI/ML, onsite in Houston, TX, with a contract duration and pay rate of $70-83/hour. Key skills include Snowflake, SQL, Python, and experience with NLP and deep learning.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
664
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🗓️ - Date
December 9, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#TensorFlow #Python #Snowflake #Hugging Face #Streamlit #Strategy #PyTorch #Datasets #Microsoft Power BI #NLP (Natural Language Processing) #SQL (Structured Query Language) #Predictive Modeling #ML (Machine Learning) #BI (Business Intelligence) #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Deep Learning #Data Engineering #AI (Artificial Intelligence) #Automation #Data Science #Redshift #SageMaker
Role description
Job Title: Data Scientist – AI/ML
Location-Type: Onsite (Houston, TX)
Start Date Is: ASAP
Duration: Contract
Compensation Range: $70-83/hour
Job Description:
A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making.
Day-to-Day Responsibilities:
• Design, train, and fine-tune machine learning, deep learning, and LLM models
• Collect, process, and analyze structured/unstructured datasets
• Engineer features to improve predictive model performance
• Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference)
• Deploy and monitor ML models using MLOps best practices
• Build dashboards and presentations to communicate insights
• Collaborate with stakeholders to translate data insights into business strategy
Requirements:
Must-Haves:
• Snowflake, SQL, Palantir (or similar operational AI decision platform)
• Strong AI/ML and LLM foundation
• Experience with NLP, deep learning, and predictive modeling
• Python proficiency and experience with PyTorch, TensorFlow, Hugging Face
• Strong SQL and data engineering skills
• AWS experience (SageMaker, S3, Redshift) and ML pipeline automation
Nice-to-Haves:
• Graduate degree in a quantitative field
• Experience with Power BI, Dash, or Streamlit
Benefits:
• This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility
Job Title: Data Scientist – AI/ML
Location-Type: Onsite (Houston, TX)
Start Date Is: ASAP
Duration: Contract
Compensation Range: $70-83/hour
Job Description:
A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making.
Day-to-Day Responsibilities:
• Design, train, and fine-tune machine learning, deep learning, and LLM models
• Collect, process, and analyze structured/unstructured datasets
• Engineer features to improve predictive model performance
• Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference)
• Deploy and monitor ML models using MLOps best practices
• Build dashboards and presentations to communicate insights
• Collaborate with stakeholders to translate data insights into business strategy
Requirements:
Must-Haves:
• Snowflake, SQL, Palantir (or similar operational AI decision platform)
• Strong AI/ML and LLM foundation
• Experience with NLP, deep learning, and predictive modeling
• Python proficiency and experience with PyTorch, TensorFlow, Hugging Face
• Strong SQL and data engineering skills
• AWS experience (SageMaker, S3, Redshift) and ML pipeline automation
Nice-to-Haves:
• Graduate degree in a quantitative field
• Experience with Power BI, Dash, or Streamlit
Benefits:
• This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility
