Home › Companies › Eeih Fa Us2 Oraclecloud Com CX 6 › Data Scientist Subcontractor
Data Scientist Subcontractor
Eeih Fa Us2 Oraclecloud Com CX 6 · FL, United States · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Eeih Fa Us2 Oraclecloud Com CX 6 |
| Title | Data Scientist Subcontractor |
| Normalized title | - |
| Department / team | - |
| Location | FL, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-02-23 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eeih Fa Us2 Oraclecloud Com CX 6. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eeih Fa Us2 Oraclecloud Com CX 6 |
| Source | a5df4f2f-57b2-4212-bfee-0bbd8de77184 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
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:
Python Proficiency:
Utilize Python for data analysis, manipulation, and visualization.
Develop and implement machine learning models using Python-based libraries and frameworks.
Cloud Platform Knowledge:
Work with data on various cloud platforms such as AWS, Azure, and GCP.
Deploy and manage data science solutions in cloud environments.
Machine Learning Techniques:
Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks.
Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters.
Clustering:
Utilize clustering algorithms to uncover patterns and insights from data.
Deep Learning Frameworks:
Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch.
Apply knowledge in image, text, and sequence processing models.
Neural Networks:
Implement Convolutional Neural Networks (CNN) for image recognition tasks.
Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis.
Generative AI Frameworks:
Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc.
Apply generative models for various applications, including text and image generation.
Communication and Teamwork:
Effectively communicate findings and insights to both technical and non-technical stakeholders.
Collaborate with cross-functional teams to deliver impactful data science solutions.
Continuous Learning:
Demonstrate a proactive attitude towards learning and staying updated with the latest advancements in data science and AI.
Qualifications:
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.
Full job record
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| Source ID | a5df4f2f-57b2-4212-bfee-0bbd8de77184 |
| Board ID | a5df4f2f-57b2-4212-bfee-0bbd8de77184 |
| Provider | oracle_hcm |
| Provider Job Key | 666 |
| Title | Data Scientist Subcontractor |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | FL, United States |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | FL |
| City | — |
| Salary Raw | Description 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: Python Proficiency: Utilize Python for data analysis, manipulation, and visualization. Develop and implement machine learning models using Python-based libraries and frameworks. Cloud Platform Knowledge: Work with data on various cloud platforms such as AWS, Azure, and GCP. Deploy and manage data science solutions in cloud environments. Machine Learning Techniques: Apply classification and regression techniques, including ensemble models, XGBoost, SVM, and neural networks. Implement statistical forecasting models such as ARIMA, S-Arima, and Holt-Winters. Clustering: Utilize clustering algorithms to uncover patterns and insights from data. Deep Learning Frameworks: Demonstrate expertise in deep learning frameworks such as TensorFlow and PyTorch. Apply knowledge in image, text, and sequence processing models. Neural Networks: Implement Convolutional Neural Networks (CNN) for image recognition tasks. Develop Recurrent Networks (LSTM, GRU) for sequence-based data analysis. Generative AI Frameworks: Work with generative AI frameworks like Langchain, Hugging Face, Llama Index, Lamini, etc. Apply generative models for various applications, including text and image generation. Communication and Teamwork: Effectively communicate findings and insights to both technical and non-technical stakeholders. Collaborate with cross-functional teams to deliver impactful data science solutions. Continuous Learning: Demonstrate a proactive attitude towards learning and staying updated with the latest advancements in data science and AI. Qualifications: 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. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://eeih.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6/job/666 |
| Apply URL | https://eeih.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6/job/666 |
| First Seen At | 2026-05-31 18:06:26Z |
| Last Seen At | 2026-06-06 11:42:35Z |
| Last Checked At | 2026-06-06 11:42:35Z |
| Last Changed At | 2026-05-31 18:06:26Z |
| Inactive At | — |
| Source Posted At | 2026-02-23 15:04:46Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=eeih.fa.us2.oraclecloud.com|CX_6/date=2026-06-06/2026-06-06T11-42-05-656Z-e8751085f65ebe5e2b44f435bea104f0f4d06d845b995ce1382be89ed99cf2cf.json |
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