Home › Companies › Hdnn Fa Us6 Oraclecloud Com CX › Data Scientist – Revenue Management
Data Scientist – Revenue Management
Hdnn Fa Us6 Oraclecloud Com CX · Norcross, GA, United States; US NGX Norcross, Georgia, Norcross, GA, US · Deleted · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Hdnn Fa Us6 Oraclecloud Com CX |
| Title | Data Scientist – Revenue Management |
| Normalized title | - |
| Department / team | Marketing and Sales |
| Location | Norcross, GA, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | deleted |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-05-11 / 2026-05-31 |
| Changed / last seen | 2026-06-04 / 2026-06-02 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hdnn Fa Us6 Oraclecloud Com CX. | 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 Norcross. | Open |
| Department jobs | Active postings in Marketing and Sales. | 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 | Hdnn Fa Us6 Oraclecloud Com CX |
| Source | 584dbffc-26f2-4efd-ae7a-12397b979e21 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Arconic is currently in search of a Data Scientist – Revenue Management to join our Kawneer Business in Norcross, GA .
At Arconic, we take pride in our work and our innovative products and technologies that advance sustainable solutions for a better world. We strive to create a safe, inclusive, and collaborative workplace with competitive benefits, development opportunities and a culture that values and rewards employees on all levels of the organization.
Job Summary:
This role supports the Revenue Management team by building, maintaining, and improving analytical models used for forecasting demand, understanding pricing performance, and identifying revenue opportunities. The emphasis is on learning the business, applying analytics pragmatically, and growing toward more advanced pricing and optimization work.
This is an applied role, not academic research.
Responsibilities
In this role, you will:
Support demand forecasting and reporting
Analyze historical pricing and customer behavior
Assist in building and testing pricing or elasticity models
Clean, validate, and structure messy transactional data
Translate analysis into clear insights for RM managers
Gradually take ownership of defined analytical components
Also note:
The successful incumbent in this position should know basic statistics:
Mean, variance, regression concepts
Correlation vs causation awareness
Introductory forecasting concepts: trend, seasonality, moving averages
Comfort working with uncertainty and imperfect data
This hire must be able to work with data independently, even if models are simple at first.
Demonstrated interest in pricing, forecasting and business decision-making.
Ability to understand:
Why pricing varies by customer / product / time
Trade-offs between volume, price, and margin
Can explain analysis in plain English
Comfortable asking good questions
Willing to challenge assumptions respectfully
Strong attention to detail and data quality
Qualifications
You have:
Bachelor’s Degree in Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, Computer Science or Data Science.
0-2 years of professional experience
Internships, research projects, or strong academic work
Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at time of hire. Visa sponsorship is not available for this position.
Preferred Qualifications:
Master’s degree (especially for OR, analytics, or applied economics)
Relevant coursework in Forecasting, Econometrics, Optimization, Supply chain or pricing analytics
Scikit-learn exposure
Data visualization (matplotlib, seaborn, Power BI, Tableau)
Git or version control familiarity
Full job record
| Job ID | c41ba45451db8ac9fe524569846a01313f868d1d |
| Org ID | 0ead8641-540c-4c33-91ff-53d501cdfd1e |
| Source ID | 584dbffc-26f2-4efd-ae7a-12397b979e21 |
| Board ID | 584dbffc-26f2-4efd-ae7a-12397b979e21 |
| Provider | oracle_hcm |
| Provider Job Key | 113749 |
| Title | Data Scientist – Revenue Management |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Norcross, GA, United States; US NGX Norcross, Georgia, Norcross, GA, US |
| Department | Marketing and Sales |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | GA |
| City | Norcross |
| Salary Raw | Description Arconic is currently in search of a Data Scientist – Revenue Management to join our Kawneer Business in Norcross, GA . At Arconic, we take pride in our work and our innovative products and technologies that advance sustainable solutions for a better world. We strive to create a safe, inclusive, and collaborative workplace with competitive benefits, development opportunities and a culture that values and rewards employees on all levels of the organization. Job Summary: This role supports the Revenue Management team by building, maintaining, and improving analytical models used for forecasting demand, understanding pricing performance, and identifying revenue opportunities. The emphasis is on learning the business, applying analytics pragmatically, and growing toward more advanced pricing and optimization work. This is an applied role, not academic research. Responsibilities In this role, you will: Support demand forecasting and reporting Analyze historical pricing and customer behavior Assist in building and testing pricing or elasticity models Clean, validate, and structure messy transactional data Translate analysis into clear insights for RM managers Gradually take ownership of defined analytical components Also note: The successful incumbent in this position should know basic statistics: Mean, variance, regression concepts Correlation vs causation awareness Introductory forecasting concepts: trend, seasonality, moving averages Comfort working with uncertainty and imperfect data This hire must be able to work with data independently, even if models are simple at first. Demonstrated interest in pricing, forecasting and business decision-making. Ability to understand: Why pricing varies by customer / product / time Trade-offs between volume, price, and margin Can explain analysis in plain English Comfortable asking good questions Willing to challenge assumptions respectfully Strong attention to detail and data quality Qualifications You have: Bachelor’s Degree in Statistics, Mathematics, Economics, Industrial Engineering, Operations Research, Computer Science or Data Science. 0-2 years of professional experience Internships, research projects, or strong academic work Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at time of hire. Visa sponsorship is not available for this position. Preferred Qualifications: Master’s degree (especially for OR, analytics, or applied economics) Relevant coursework in Forecasting, Econometrics, Optimization, Supply chain or pricing analytics Scikit-learn exposure Data visualization (matplotlib, seaborn, Power BI, Tableau) Git or version control familiarity |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://hdnn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/113749 |
| Apply URL | https://hdnn.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/113749 |
| First Seen At | 2026-05-31 18:00:34Z |
| Last Seen At | 2026-06-02 11:26:28Z |
| Last Checked At | 2026-06-04 10:33:32Z |
| Last Changed At | 2026-06-04 10:33:32Z |
| Inactive At | 2026-06-04 10:33:32Z |
| Source Posted At | 2026-05-11 16:00:02Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=oracle_hcm/board=hdnn.fa.us6.oraclecloud.com|CX/date=2026-06-02/2026-06-02T11-26-19-319Z-a1636024cd1b527a33df88104b163a04348d86c3103c3e026774a3ef5b442ed7.json |
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"ExternalResponsibilitiesStr": "<p style=\"background-color:white;line-height:normal;margin-bottom:0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:12.0pt;\"><strong>In this role, you will:</strong></span></span></p><ul style=\"list-style-type:disc;padding-left:24px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Support demand forecasting and reporting</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Analyze historical pricing and customer behavior</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Assist in building and testing pricing or elasticity models</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Clean, validate, and structure messy transactional data</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Translate analysis into clear insights for RM managers</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Gradually take ownership of defined analytical components</span></span></p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;\"> </p></li></ul><p style=\"background-color:white;line-height:normal;margin-bottom:0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:12.0pt;\"><strong>Also note:</strong></span></span></p><ul style=\"list-style-type:disc;padding-left:42px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">The successful incumbent in this position should know basic statistics: </span></span></p><ul style=\"list-style-type:circle;padding-left:54px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Mean, variance, regression concepts</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Correlation vs causation awareness</span></span></p></li></ul></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Introductory forecasting concepts: trend, seasonality, moving averages</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Comfort working with uncertainty and imperfect data</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">This hire must be able to work with data independently, even if models are simple at first.</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Demonstrated interest in pricing, forecasting and business decision-making.</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Ability to understand:</span></span></p><ul style=\"list-style-type:circle;padding-left:54px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Why pricing varies by customer / product / time </span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Trade-offs between volume, price, and margin</span></span></p></li></ul></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Can explain analysis in plain English</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Comfortable asking good questions</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Willing to challenge assumptions respectfully</span></span></p></li></ul><p><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;line-height:107%;\">Strong attention to detail and data quality</span></span></p>",
"InternalResponsibilitiesStr": "<p style=\"background-color:white;line-height:normal;margin-bottom:0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:12.0pt;\"><strong>In this role, you will:</strong></span></span></p><ul style=\"list-style-type:disc;padding-left:24px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Support demand forecasting and reporting</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Analyze historical pricing and customer behavior</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Assist in building and testing pricing or elasticity models</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Clean, validate, and structure messy transactional data</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Translate analysis into clear insights for RM managers</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Gradually take ownership of defined analytical components</span></span></p><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;\"> </p></li></ul><p style=\"background-color:white;line-height:normal;margin-bottom:0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:12.0pt;\"><strong>Also note:</strong></span></span></p><ul style=\"list-style-type:disc;padding-left:42px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">The successful incumbent in this position should know basic statistics: </span></span></p><ul style=\"list-style-type:circle;padding-left:54px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Mean, variance, regression concepts</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Correlation vs causation awareness</span></span></p></li></ul></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Introductory forecasting concepts: trend, seasonality, moving averages</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Comfort working with uncertainty and imperfect data</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">This hire must be able to work with data independently, even if models are simple at first.</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Demonstrated interest in pricing, forecasting and business decision-making.</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Ability to understand:</span></span></p><ul style=\"list-style-type:circle;padding-left:54px;\"><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Why pricing varies by customer / product / time </span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 1.0in;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Trade-offs between volume, price, and margin</span></span></p></li></ul></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Can explain analysis in plain English</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Comfortable asking good questions</span></span></p></li><li><p style=\"background-color:white;line-height:normal;margin-bottom:0in;margin-right:0in;margin-top:0in;tab-stops:list 31.5pt;\"><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;\">Willing to challenge assumptions respectfully</span></span></p></li></ul><p><span style=\"color:black;font-family:"Segoe UI",sans-serif;\"><span style=\"font-size:11.5pt;line-height:107%;\">Strong attention to detail and data quality</span></span></p>",
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