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HomeCompaniesEgay Fa Us6 Oraclecloud Com Cx 2001Senior Data Scientist

Senior Data Scientist

Egay Fa Us6 Oraclecloud Com Cx 2001 · 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

FieldValue
CompanyEgay Fa Us6 Oraclecloud Com Cx 2001
TitleSenior Data Scientist
Normalized title-
Department / teamData Science
LocationHouston, TX, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-05-20 / 2026-05-31
Changed / last seen2026-06-04 / 2026-06-21

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PageWhat it containsOpen
Company jobsActive postings from Egay Fa Us6 Oraclecloud Com Cx 2001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Recruiting Cloud / Fusion HCM.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Houston.Open
Department jobsActive postings in Data Science.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEgay Fa Us6 Oraclecloud Com Cx 2001
Source3d9e6369-fdca-46b1-93de-664556c95d7d
ATS providerOracle 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 ID218fb910620b0baa1ff298fb63cae9278fd8de3d
Org IDbae492b8-e561-4c14-bbac-18a1595dde14
Source ID3d9e6369-fdca-46b1-93de-664556c95d7d
Board ID3d9e6369-fdca-46b1-93de-664556c95d7d
Provideroracle_hcm
Provider Job Key39351
TitleSenior Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextHouston, TX, United States; US TX Houston RMD 10353 Richmond Ave NOV Tower, Houston, TX, US
DepartmentData Science
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionTX
CityHouston
Salary RawDescription 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 URLhttps://egay.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2001/job/39351
Apply URLhttps://egay.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_2001/job/39351
First Seen At2026-05-31 18:00:41Z
Last Seen At2026-06-21 12:15:34Z
Last Checked At2026-06-21 12:15:34Z
Last Changed At2026-06-04 10:58:24Z
Inactive At
Source Posted At2026-05-20 16:22:09Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=egay.fa.us6.oraclecloud.com|cx_2001/date=2026-06-21/2026-06-21T12-15-07-746Z-7c8bf585f0fb3b2cb0396ce247fd59fab2e48bffc3c3aafef93d895dc0295c91.json
Event Fields
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Extensions
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