Data Scientist Subcontractor
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Before you apply
LocationFL, United States
Typefull-time
Company size1,001–5,000 people
First seenOct 18, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Information Technology, or a related field
Proven experience in applying machine learning and deep learning techniques to real-world problems
Strong programming skills in Python and experience with relevant libraries and frameworks
Experience working with cloud platforms (AWS, Azure, GCP)
Excellent communication and teamwork skills
A passion for continuous learning and staying current with industry trends
Skills
Python
AWS
Azure
GCP
XGBoost
SVM
TensorFlow
PyTorch
Langchain
Hugging Face
Llama Index
Lamini
Data Scientist
Position Summary:
We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate is proficient in Python, has extensive experience with cloud platforms (AWS, Azure, GCP), and possesses a strong background in both theoretical and practical aspects of machine learning techniques.
Key Responsibilities:
1.
Python Proficiency:
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Utilize Python for data analysis, manipulation, and visualization.
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Develop and implement machine learning models using Python-based libraries and frameworks.
1.
Cloud Platform Knowledge:
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Work with data on various cloud platforms such as AWS, Azure, and GCP.
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Deploy and manage data science solutions in cloud environments.
1.
Machine Learning Techniques:
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Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks.
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Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters.
1.
Clustering:
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Utilize clustering algorithms to uncover patterns and insights from data.
1.
Deep Learning Frameworks:
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Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch.
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Apply knowledge in image, text, and sequence processing models.
1.
Neural Networks:
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Implement Convolutional Neural Networks (CNN) for image recognition tasks.
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Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis.
1.
Generative AI Frameworks:
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Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc.
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Apply generative models for various applications, including text and image generation.
1.
Communication and Teamwork:
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Effectively communicate findings and insights to both technical and non-technical stakeholders.
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Collaborate with cross-functional teams to deliver impactful data science solutions.
1.
Continuous Learning:
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Demonstrate a proactive attitude towards learning and staying updated with the latest advancements in data science and AI.
Qualifications:
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Bachelor’s degree in Computer Science, Information Technology, or a related field (Computer Science, Statistics, Data Science, etc.).
•
Proven experience in applying machine learning and deep learning techniques to real-world problems.
•
Strong programming skills in Python and experience with relevant libraries and frameworks.
•
Experience working with cloud platforms (AWS, Azure, GCP).
•
Excellent communication and teamwork skills.
•
A passion for continuous learning and staying current with industry trends.