Aptino, Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Texas or Louisiana (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Key skills include AWS, Python, SQL, R, and NLP. Experience in building AI and machine learning models is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Texas, United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Programming #ML (Machine Learning) #Python #S3 (Amazon Simple Storage Service) #R #React #Data Science #AWS (Amazon Web Services) #SageMaker #SQL (Structured Query Language) #Lambda (AWS Lambda) #NLP (Natural Language Processing)
Role description
Role Name: Data Scientist
Location: Texas OR Lousiana (Hybrid - Onsite)
Job Description -
Work with the analytics team to build data and AI models using text (NLP) and other techniques.
Create machine learning models that help predict and suggest actions instead of just reacting.
Keep learning about new data and AI tools.
Turn one-time analysis into reusable tools that teams can use anytime.
Find useful business insights from data.
Clean, prepare, and check data to make sure it is accurate.
Use programming languages like Python, SQL, and R for data and model building.
Build and deploy Generative AI models using AWS tools like Bedrock, Claude, Llama, and Titan.
Create AI workflows using AWS services like S3, Lambda, and SageMaker.
Build RAG systems that combine search and AI responses.
Design and improve AI prompts and model performance.
Work with engineers and business teams to turn problems into AI solutions.
Make sure AI systems are secure, reliable, and follow data rules.
Please share your resume to nikita.kongari@aptino.com
Role Name: Data Scientist
Location: Texas OR Lousiana (Hybrid - Onsite)
Job Description -
Work with the analytics team to build data and AI models using text (NLP) and other techniques.
Create machine learning models that help predict and suggest actions instead of just reacting.
Keep learning about new data and AI tools.
Turn one-time analysis into reusable tools that teams can use anytime.
Find useful business insights from data.
Clean, prepare, and check data to make sure it is accurate.
Use programming languages like Python, SQL, and R for data and model building.
Build and deploy Generative AI models using AWS tools like Bedrock, Claude, Llama, and Titan.
Create AI workflows using AWS services like S3, Lambda, and SageMaker.
Build RAG systems that combine search and AI responses.
Design and improve AI prompts and model performance.
Work with engineers and business teams to turn problems into AI solutions.
Make sure AI systems are secure, reliable, and follow data rules.
Please share your resume to nikita.kongari@aptino.com
