Aptino, Inc.
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with expertise in hybrid cloud architectures and machine learning for financial forecasting. Requires proficiency in Java, Python, and experience with AWS, Azure, GCP. Strong communication skills and knowledge of Agile methodologies are essential. Remote position.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Time Series #ML (Machine Learning) #Azure #AWS (Amazon Web Services) #Data Pipeline #Cloud #React #Forecasting #Agile #DevOps #GCP (Google Cloud Platform) #Python #Data Science #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Programming #Security #Distributed Computing #Java
Role description
Role: Data Scientist
Location: Chicago, IL (Remote)
Job Description:
• Demonstrated experience with hybrid cloud architectures across platforms such as AWS Azure GCP or private environments.
• Design, build and deploy Machine Learning models for financial forecasting, including time series, predictive and hybrid approaches.
• Apply Large Language Models (LLMs) to forecasting and analytics use cases, such as feature enrichment, scenario generation, qualitative signal extraction, and hybrid ML LLM forecasting frameworks.
• Proficiency in programming languages including Java Python React or other similar technologies
• A thorough grasp of distributed computing systems data pipeline frameworks and analytics solutions
• Familiarity with CICD pipelines DevOps practices and up to date methods in software engineering
• Strong communication and presentation abilities
• Extensive understanding of the full Software Development Life Cycle especially around generative AI projects
• Solid knowledge of agile methodologies like CICD application resiliency and security with particular emphasis on their application in AIML contexts
• Proven expertise with software solutions and processes within fields such as cloud computing artificial intelligence machine learning and mobile technology
• Advanced skills in AWS and GenAI ML technologies agentic AI development SLMs LRMs and model finetuning
Role: Data Scientist
Location: Chicago, IL (Remote)
Job Description:
• Demonstrated experience with hybrid cloud architectures across platforms such as AWS Azure GCP or private environments.
• Design, build and deploy Machine Learning models for financial forecasting, including time series, predictive and hybrid approaches.
• Apply Large Language Models (LLMs) to forecasting and analytics use cases, such as feature enrichment, scenario generation, qualitative signal extraction, and hybrid ML LLM forecasting frameworks.
• Proficiency in programming languages including Java Python React or other similar technologies
• A thorough grasp of distributed computing systems data pipeline frameworks and analytics solutions
• Familiarity with CICD pipelines DevOps practices and up to date methods in software engineering
• Strong communication and presentation abilities
• Extensive understanding of the full Software Development Life Cycle especially around generative AI projects
• Solid knowledge of agile methodologies like CICD application resiliency and security with particular emphasis on their application in AIML contexts
• Proven expertise with software solutions and processes within fields such as cloud computing artificial intelligence machine learning and mobile technology
• Advanced skills in AWS and GenAI ML technologies agentic AI development SLMs LRMs and model finetuning
