Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a contract-to-hire basis, remote for over 6 months. Key skills include deep learning (PyTorch, TensorFlow), cloud platforms (GCP, AWS), SQL, and time series forecasting experience.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 6, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ML (Machine Learning) #GCP (Google Cloud Platform) #Transformers #Forecasting #SQL (Structured Query Language) #TensorFlow #PyTorch #Deep Learning #Data Science #Regression #Time Series #Cloud #Azure #AWS (Amazon Web Services)
Role description
Position: Data Scientist
C2H - Remote on contract – Once hired Fulltime, would have to relocate to Bentonville
Project Overview
Time series forecasting project. This project involves developing and training deep learning modules, with a focus on optimizing multi-GPU usage to reduce costs. You will collaborate with 6-8 stakeholders and work alongside a team with a strong background in statistical machine learning. The manager, who has expertise in computer vision, is seeking a candidate with deep learning training experience.
Key Responsibilities
• Develop and implement machine learning models for time series forecasting, including curve fitting and regression modules
• Train deep learning modules, particularly transformers, from scratch
• Manage the full pipeline, including order transformation, validation, and module drift
• Present and explain module usage to approximately 30 internal users
• Adapt quickly to complex topics and new technologies
Required Skills And Experience
• Proficiency in PyTorch, TensorFlow, or JAX
• Experience with cloud platforms such as GCP, AWS, or Azure
• Strong understanding of deep learning training techniques
• Solid SQL skills
• Excellent communication abilities
Preferred Qualifications
• Experience with multi-GPU optimization
• Background in time series forecasting (not mandatory)
• Ability to learn rapidly and tackle complex problems
Position: Data Scientist
C2H - Remote on contract – Once hired Fulltime, would have to relocate to Bentonville
Project Overview
Time series forecasting project. This project involves developing and training deep learning modules, with a focus on optimizing multi-GPU usage to reduce costs. You will collaborate with 6-8 stakeholders and work alongside a team with a strong background in statistical machine learning. The manager, who has expertise in computer vision, is seeking a candidate with deep learning training experience.
Key Responsibilities
• Develop and implement machine learning models for time series forecasting, including curve fitting and regression modules
• Train deep learning modules, particularly transformers, from scratch
• Manage the full pipeline, including order transformation, validation, and module drift
• Present and explain module usage to approximately 30 internal users
• Adapt quickly to complex topics and new technologies
Required Skills And Experience
• Proficiency in PyTorch, TensorFlow, or JAX
• Experience with cloud platforms such as GCP, AWS, or Azure
• Strong understanding of deep learning training techniques
• Solid SQL skills
• Excellent communication abilities
Preferred Qualifications
• Experience with multi-GPU optimization
• Background in time series forecasting (not mandatory)
• Ability to learn rapidly and tackle complex problems
