Home › Companies › Egay Fa Us6 Oraclecloud Com CX 4001 › Senior Data Scientist
Senior Data Scientist
Egay Fa Us6 Oraclecloud Com CX 4001 · Houston, TX, United States; US TX Houston RMD 10353 Richmond Ave NOV Tower, Houston, TX, US · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Egay Fa Us6 Oraclecloud Com CX 4001 |
| Title | Senior Data Scientist |
| Normalized title | - |
| Department / team | Data Science |
| Location | Houston, TX, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-20 / 2026-05-31 |
| Changed / last seen | 2026-06-04 / 2026-06-22 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Egay Fa Us6 Oraclecloud Com CX 4001. | 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 |
| City jobs | Active postings in Houston. | Open |
| Department jobs | Active postings in Data Science. | Open |
| Work model jobs | Active Hybrid postings. | 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 | Egay Fa Us6 Oraclecloud Com CX 4001 |
| Source | fe4e74ed-d842-4ad5-b13f-38d2eb0357cc |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Reports to: VP Data & Analytics
As a Senior Data Scientist , you will:
Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
Develop a firm understanding of specific business processes and real-world workflows
Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
Lead data science initiatives that impact operations globally across multiple business units
Define project scope, timelines and deliverables in collaboration with business leaders
Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
Manage and mentor interns, junior data scientists and analysts
Translate advanced analytics results into strategic recommendations for VP and C-level leadership
Utilize programming languages such as SQL, Python for data manipulation, analysis and model development
SUGGESTED QUALIFICATIONS
Master’s degree in a quantitative discipline
Five or more years of professional data science experience in manufacturing and/or supply chain environments
Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
Deep expertise in machine learning, forecasting and optimization
Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
Knowledge of Streamlit for building interactive data applications preferred
Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
Demonstrated ability to drive business impact and ROI through analytics
Strong track record of executive-level communication and influence
Experience leading cross-functional teams across multiple geographies
Full job record
| Job ID | 3bf390bbe438d2dff51f6f4604a07ebf5a927e69 |
| Org ID | ed4800e6-a68f-4753-bef9-3311479be754 |
| Source ID | fe4e74ed-d842-4ad5-b13f-38d2eb0357cc |
| Board ID | fe4e74ed-d842-4ad5-b13f-38d2eb0357cc |
| Provider | oracle_hcm |
| Provider Job Key | 39351 |
| Title | Senior Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Houston, TX, United States; US TX Houston RMD 10353 Richmond Ave NOV Tower, Houston, TX, US |
| Department | Data Science |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | TX |
| City | Houston |
| Salary Raw | Description Reports to: VP Data & Analytics As a Senior Data Scientist , you will: Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting Develop a firm understanding of specific business processes and real-world workflows Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers Lead data science initiatives that impact operations globally across multiple business units Define project scope, timelines and deliverables in collaboration with business leaders Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally Manage and mentor interns, junior data scientists and analysts Translate advanced analytics results into strategic recommendations for VP and C-level leadership Utilize programming languages such as SQL, Python for data manipulation, analysis and model development SUGGESTED QUALIFICATIONS Master’s degree in a quantitative discipline Five or more years of professional data science experience in manufacturing and/or supply chain environments Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets Deep expertise in machine learning, forecasting and optimization Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred) Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly Knowledge of Streamlit for building interactive data applications preferred Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management Demonstrated ability to drive business impact and ROI through analytics Strong track record of executive-level communication and influence Experience leading cross-functional teams across multiple geographies |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://egay.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_4001/job/39351 |
| Apply URL | https://egay.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_4001/job/39351 |
| First Seen At | 2026-05-31 18:14:17Z |
| Last Seen At | 2026-06-22 15:09:07Z |
| Last Checked At | 2026-06-22 15:09:07Z |
| Last Changed At | 2026-06-04 10:59:27Z |
| Inactive At | — |
| Source Posted At | 2026-05-20 16:22:09Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=egay.fa.us6.oraclecloud.com|CX_4001/date=2026-06-22/2026-06-22T15-08-39-554Z-a12c0690cc2e282225fb8c49dfbc2147202d9a649e463d43fe50bbc613cdbbc4.json |
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