SPECTRAFORCE

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist II, remote for 6 months, with a pay rate of "unknown." Key skills include Python, PyTorch, TensorFlow, and experience with Graph Neural Networks. A PhD in a related field is required; fresh graduates welcome.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
440
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πŸ—“οΈ - Date
January 17, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Programming #Python #"ETL (Extract #Transform #Load)" #Cloud #PyTorch #Data Science #AI (Artificial Intelligence) #Deep Learning #ML (Machine Learning) #Knowledge Graph #TensorFlow #Neural Networks #Computer Science #Transformers #BERT
Role description
Title: Data Scientist II Remote 6 months to start Job Description: Key Responsibilities: β€’ Collaborate with cross-functional teams to design, develop, and deploy AI models tailored to business needs. β€’ Internalize and integrate external AI programs, ensuring compatibility with our systems. β€’ Utilize Python/PyTorch/TensorFlow and other programming languages for developing and refining deep learning models. β€’ Research and implement Graphical Neural Network (GNNs) models and contribute to their adaptation for analyzing Knowledge Graphs. β€’ Implement and apply literature and data-driven network integration strategies to infer novel knowledge. β€’ Support troubleshooting, optimization, and potential updates of deployed AI solutions to improve performance. Qualifications: β€’ PhD in Computational Science, Computer Science, Data Science, or a related field (fresh graduates are welcome). β€’ Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow. β€’ Understanding Graph Neural Networks and familiarity with transformers, and analyzing sequential data, experience in deploying AI/ML solutions. β€’ Strong problem-solving abilities and analytical skills. β€’ Ability to collaborate in a team-oriented environment while being proactive in managing independent tasks. Preferred Skills: β€’ Experience applying state of the art AI methodology on biological systems, specifically on muti-omics data preferred. β€’ Experience in cloud computing environments and deploying AI solutions. β€’ Exposure to other programming languages or AI frameworks (e.g., BERT, LLAMA).