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HomeCompaniesEeih Fa Us2 Oraclecloud Com CX 6Data Scientist Subcontractor

Data Scientist Subcontractor

Eeih Fa Us2 Oraclecloud Com CX 6 · FL, United States · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEeih Fa Us2 Oraclecloud Com CX 6
TitleData Scientist Subcontractor
Normalized title-
Department / team-
LocationFL, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-02-23 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

CompanyEeih Fa Us2 Oraclecloud Com CX 6
Sourcea5df4f2f-57b2-4212-bfee-0bbd8de77184
ATS providerOracle 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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Org ID7ab47f15-46a5-4a98-8f70-9879c4dd8e2e
Source IDa5df4f2f-57b2-4212-bfee-0bbd8de77184
Board IDa5df4f2f-57b2-4212-bfee-0bbd8de77184
Provideroracle_hcm
Provider Job Key666
TitleData Scientist Subcontractor
Normalized Title
Statusactive
Activeyes
Location TextFL, United States
Department
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionFL
City
Salary RawDescription 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 URLhttps://eeih.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6/job/666
Apply URLhttps://eeih.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6/job/666
First Seen At2026-05-31 18:06:26Z
Last Seen At2026-06-06 11:42:35Z
Last Checked At2026-06-06 11:42:35Z
Last Changed At2026-05-31 18:06:26Z
Inactive At
Source Posted At2026-02-23 15:04:46Z
Source Updated At
Raw Payload Uris3://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
Event Fields
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Extensions
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