bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompanies43ed7a27 9acd 4ce9 9864 9ec8c6cbbfb1 19000101 000001Data Scientist

Data Scientist

43ed7a27 9acd 4ce9 9864 9ec8c6cbbfb1 19000101 000001 · Houston, TX, US, Houston, TX · Active · ADP Workforce Now Recruiting

Job facts

FieldValue
Company43ed7a27 9acd 4ce9 9864 9ec8c6cbbfb1 19000101 000001
TitleData Scientist
Normalized title-
Department / team-
LocationHouston, TX, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerADP Workforce Now Recruiting
Posted / first seen2025-04-09 / 2026-05-31
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from 43ed7a27 9acd 4ce9 9864 9ec8c6cbbfb1 19000101 000001.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through ADP Workforce Now Recruiting.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Houston.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

Company43ed7a27 9acd 4ce9 9864 9ec8c6cbbfb1 19000101 000001
Source4dc82e43-41aa-4380-895d-d763da002f80
ATS providerADP Workforce Now Recruiting

Description

Job Title: Data Scientist Department: Purchasing Reports To: COO Location: 6969 North Fwy, Houston, TX 77076 Employment Type: Full-time Position Overview: We are seeking a highly skilled and analytical Data Scientist to join our Purchasing Department. The successful candidate will leverage data analytics, machine learning, and statistical modeling to optimize procurement processes, forecast demand, and enhance supply chain efficiency. This role requires strong data management skills and collaboration with cross-functional teams to drive data-driven decision-making and cost reduction initiatives. Key Responsibilities: Data Analysis & Reporting: Develop predictive models to forecast demand, optimize inventory levels, and reduce procurement costs. Analyze historical purchasing data to identify trends, inefficiencies, and opportunities for cost savings. Build and maintain data pipelines and dashboards to monitor supplier performance, lead times, and pricing trends. Generate actionable insights and reports for senior management to support strategic decision-making. Machine Learning & Process Optimization: Implement machine learning algorithms to enhance supplier selection and risk assessment. Work with procurement teams to develop data-driven negotiation strategies and supplier recommendations. Automate data collection, cleaning, and reporting processes for improved efficiency. Utilize statistical analysis to assess market trends, raw material costs, and external factors affecting purchasing decisions. Collaboration & System Integration: Work closely with IT and supply chain teams to integrate data solutions with existing ERP and procurement systems. Support cross-functional teams including procurement, inventory management, and supplier relations to ensure smooth data utilization. Qualifications: Education & Experience: Bachelor’s degree in Data Science, Statistics, Computer Science, Supply Chain Management, or a related field. At least 2-4 years of experience in data analysis, machine learning, or procurement analytics. Proven experience in data modeling, with strong expertise in statistical analysis and predictive analytics. Skills & Competencies: Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis. Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively. Strong problem-solving and critical-thinking abilities. Excellent communication and interpersonal skills for cross-functional collaboration. Detail-oriented with strong organizational skills and the ability to manage multiple priorities. Preferred: Experience with ERP systems (e.g., SAP, Oracle) and procurement analytics tools. Knowledge of machine learning frameworks and process improvement methodologies (e.g., Lean, Six Sigma). Job Details: Work Schedule: Mon-Fri: 8:00 AM - 5:30 PM Sat: 8:00 AM - 3:00 PM Employee Benefits: Health Benefits: Medical, Vision, and dental coverage (details provided after the initial period). 401k: Eligibility after six months. Paid Time Off: Accrued on a pro-rata basis. Additional Benefits: Employee discounts Accidental, Critical, & Hospital Indemnity Insurance Short & Long Term Disability Insurance Term Life Insurance PAYACTIV Paid Holidays (6 days): New Year’s Day Memorial Day Independence Day Labor Day Thanksgiving Day Christmas Day

Full job record

Job IDac01d62d86b8c0eb030caafe63b485a361407c28
Org ID24f39c20-452c-41ea-b9fc-63a59d81a8b3
Source ID4dc82e43-41aa-4380-895d-d763da002f80
Board ID4dc82e43-41aa-4380-895d-d763da002f80
Provideradp_workforcenow
Provider Job Key532305
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextHouston, TX, US, Houston, TX
Department
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionTX
CityHouston
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=43ed7a27-9acd-4ce9-9864-9ec8c6cbbfb1&ccId=19000101_000001&lang=en_US&type=JS&jobId=532305&jwId=9200822930412_1
Apply URLhttps://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=43ed7a27-9acd-4ce9-9864-9ec8c6cbbfb1&ccId=19000101_000001&lang=en_US&type=JS&jobId=532305&jwId=9200822930412_1
First Seen At2026-05-31 18:30:45Z
Last Seen At2026-06-06 11:52:35Z
Last Checked At2026-06-06 11:52:35Z
Last Changed At2026-06-06 11:52:35Z
Inactive At
Source Posted At2025-04-09 18:58:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=43ed7a27-9acd-4ce9-9864-9ec8c6cbbfb1|19000101_000001/date=2026-06-06/2026-06-06T11-52-02-847Z-9ae4d3013636ea3b00461abbfbf207d16785ab6346bcee63b9d1546e223b4eb8.json
Event Fields
{
  "content_hash": "f808e4b7016dbba695a63ff89b4ca319ea5a66fd25f16afb17cff5d69f68c9a1",
  "source_hash": "30f698c7afcd1901fafdcf042163bbec482c1f898176194a1032fade46851b03",
  "last_changed_at": "2026-06-06T11:52:35.696Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Houston, TX, US, Houston, TX",
    "city": "Houston",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T11:52:35.580Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Houston, TX, US, Houston, TX",
      "city": "Houston",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "detail": {
    "links": [],
    "itemID": "9200822930412_1",
    "postDate": "2025-04-09T14:58:00.000-04:00",
    "workLevelCode": {
      "shortName": "Full Time"
    },
    "customFieldGroup": {
      "dateFields": [
        {
          "nameCode": {
            "codeValue": "PostingDate"
          },
          "dateValue": "2025-04-09T14:58Z"
        },
        {
          "nameCode": {
            "codeValue": "CurrentServerDateTime"
          },
          "dateValue": "2026-06-06T07:52Z"
        }
      ],
      "numberFields": [
        {
          "numberValue": 0,
          "categoryCode": {
            "codeValue": "ApplicantCount"
          }
        },
        {
          "categoryCode": {
            "codeValue": "AwardAmount"
          }
        }
      ],
      "stringFields": [
        {
          "nameCode": {
            "codeValue": "ExternalJobID"
          },
          "stringValue": "532305"
        },
        {
          "nameCode": {
            "codeValue": "CareerCenterRefId"
          }
        },
        {
          "nameCode": {
            "codeValue": "GuidelineOid"
          }
        },
        {
          "nameCode": {
            "codeValue": "CurrencySymbolOrCode"
          }
        },
        {
          "nameCode": {
            "codeValue": "HomeDepartment"
          },
          "stringValue": ""
        },
        {
          "nameCode": {
            "codeValue": "JobClass"
          },
          "stringValue": "5-Office & Clerical"
        }
      ],
      "indicatorFields": [
        {
          "nameCode": {
            "codeValue": "PriortyStatusFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "InternalPostingFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "MinValue"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsVsidApplicable"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForExtPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForIntPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsMonetaryFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsNonMonetaryFlag"
          },
          "indicatorValue": false
        }
      ]
    },
    "requisitionTitle": "Data Scientist",
    "clientRequisitionID": "1596",
    "organizationalUnits": [],
    "postingInstructions": [],
    "additionalProperties": {},
    "requisitionLocations": [
      {
        "address": {
          "cityName": "Houston",
          "postalCode": "77076",
          "countrySubdivisionLevel1": {
            "codeValue": "TX"
          }
        },
        "nameCode": {
          "shortName": " Houston, TX, US"
        },
        "aliasNames": []
      }
    ],
    "screeningRequirements": [],
    "requisitionDescription": "<div><div><div><div><div><div><div><p data-pm-slice=\"1 1 []\" id=\"isPasted\"><strong>Job Title:</strong> Data Scientist<br><strong>Department:</strong> Purchasing<br><strong>Reports To:</strong> COO<br><strong>Location:</strong> 6969 North Fwy, Houston, TX 77076<br><strong>Employment Type:</strong> Full-time</p><h3><strong>Position Overview:</strong></h3><p>We are seeking a highly skilled and analytical Data Scientist to join our Purchasing Department. The successful candidate will leverage data analytics, machine learning, and statistical modeling to optimize procurement processes, forecast demand, and enhance supply chain efficiency. This role requires strong data management skills and collaboration with cross-functional teams to drive data-driven decision-making and cost reduction initiatives.</p><h3><strong>Key Responsibilities:</strong></h3><h4><strong>Data Analysis &amp; Reporting:</strong></h4><ul data-spread=\"false\"><li><p>Develop predictive models to forecast demand, optimize inventory levels, and reduce procurement costs.</p></li><li><p>Analyze historical purchasing data to identify trends, inefficiencies, and opportunities for cost savings.</p></li><li><p>Build and maintain data pipelines and dashboards to monitor supplier performance, lead times, and pricing trends.</p></li><li><p>Generate actionable insights and reports for senior management to support strategic decision-making.</p></li></ul><h4><strong>Machine Learning &amp; Process Optimization:</strong></h4><ul data-spread=\"false\"><li><p>Implement machine learning algorithms to enhance supplier selection and risk assessment.</p></li><li><p>Work with procurement teams to develop data-driven negotiation strategies and supplier recommendations.</p></li><li><p>Automate data collection, cleaning, and reporting processes for improved efficiency.</p></li><li><p>Utilize statistical analysis to assess market trends, raw material costs, and external factors affecting purchasing decisions.</p></li></ul><h4><strong>Collaboration &amp; System Integration:</strong></h4><ul data-spread=\"false\"><li><p>Work closely with IT and supply chain teams to integrate data solutions with existing ERP and procurement systems.</p></li><li><p>Support cross-functional teams including procurement, inventory management, and supplier relations to ensure smooth data utilization.</p></li></ul><h3><strong>Qualifications:</strong></h3><h4><strong>Education &amp; Experience:</strong></h4><ul data-spread=\"false\"><li><p>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Supply Chain Management, or a related field.</p></li><li><p>At least 2-4 years of experience in data analysis, machine learning, or procurement analytics.</p></li><li><p>Proven experience in data modeling, with strong expertise in statistical analysis and predictive analytics.</p></li></ul><h4><strong>Skills &amp; Competencies:</strong></h4><ul data-spread=\"false\"><li><p>Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.</p></li><li><p>Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.</p></li><li><p>Strong problem-solving and critical-thinking abilities.</p></li><li><p>Excellent communication and interpersonal skills for cross-functional collaboration.</p></li><li><p>Detail-oriented with strong organizational skills and the ability to manage multiple priorities.</p></li></ul><h4><strong>Preferred:</strong></h4><ul data-spread=\"false\"><li><p>Experience with ERP systems (e.g., SAP, Oracle) and procurement analytics tools.</p></li><li><p>Knowledge of machine learning frameworks and process improvement methodologies (e.g., Lean, Six Sigma).</p></li></ul><h3><strong>Job Details:</strong></h3><ul data-spread=\"false\"><li><p><strong>Work Schedule:</strong></p><ul data-spread=\"false\"><li><p>Mon-Fri: 8:00 AM - 5:30 PM</p></li><li><p>Sat: 8:00 AM - 3:00 PM</p></li></ul></li></ul><h3><strong>Employee Benefits:</strong></h3><ul data-spread=\"false\"><li><p><strong>Health Benefits:</strong> Medical, Vision, and dental coverage (details provided after the initial period).</p></li><li><p><strong>401k:</strong> Eligibility after six months.</p></li><li><p><strong>Paid Time Off:</strong> Accrued on a pro-rata basis.</p></li><li><p><strong>Additional Benefits:</strong></p><ul data-spread=\"false\"><li><p>Employee discounts</p></li><li><p>Accidental, Critical, &amp; Hospital Indemnity Insurance</p></li><li><p>Short &amp; Long Term Disability Insurance</p></li><li><p>Term Life Insurance</p></li><li><p>PAYACTIV</p></li><li><p><strong>Paid Holidays (6 days):</strong></p><ul data-spread=\"false\"><li><p>New Year&rsquo;s Day</p></li><li><p>Memorial Day</p></li><li><p>Independence Day</p></li><li><p>Labor Day</p></li><li><p>Thanksgiving Day</p></li><li><p>Christmas Day</p></li></ul></li></ul></li></ul></div></div></div></div></div></div></div>\n",
    "sponsoredVisaTypeCodes": []
  },
  "list_job": {
    "links": [],
    "itemID": "9200822930412_1",
    "postDate": "2025-04-09T14:58:00.000-04:00",
    "workLevelCode": {
      "shortName": "Full Time"
    },
    "customFieldGroup": {
      "dateFields": [
        {
          "nameCode": {
            "codeValue": "PostingDate"
          },
          "dateValue": "2025-04-09T14:58Z"
        },
        {
          "nameCode": {
            "codeValue": "CurrentServerDateTime"
          },
          "dateValue": "2026-06-06T07:52Z"
        }
      ],
      "numberFields": [
        {
          "numberValue": 0,
          "categoryCode": {
            "codeValue": "ApplicantCount"
          }
        },
        {
          "categoryCode": {
            "codeValue": "AwardAmount"
          }
        }
      ],
      "stringFields": [
        {
          "nameCode": {
            "codeValue": "ExternalJobID"
          },
          "stringValue": "532305"
        },
        {
          "nameCode": {
            "codeValue": "CareerCenterRefId"
          }
        },
        {
          "nameCode": {
            "codeValue": "GuidelineOid"
          }
        },
        {
          "nameCode": {
            "codeValue": "CurrencySymbolOrCode"
          }
        },
        {
          "nameCode": {
            "codeValue": "HomeDepartment"
          },
          "stringValue": ""
        },
        {
          "nameCode": {
            "codeValue": "JobClass"
          },
          "stringValue": "5-Office & Clerical"
        }
      ],
      "indicatorFields": [
        {
          "nameCode": {
            "codeValue": "PriortyStatusFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "InternalPostingFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "MinValue"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsVsidApplicable"
          },
          "indicatorValue": true
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForExtPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsSassDlReqForIntPostFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsMonetaryFlag"
          },
          "indicatorValue": false
        },
        {
          "nameCode": {
            "codeValue": "IsNonMonetaryFlag"
          },
          "indicatorValue": false
        }
      ]
    },
    "requisitionTitle": "Data Scientist",
    "clientRequisitionID": "1596",
    "organizationalUnits": [],
    "postingInstructions": [],
    "additionalProperties": {},
    "requisitionLocations": [
      {
        "address": {
          "cityName": "Houston",
          "postalCode": "77076",
          "countrySubdivisionLevel1": {
            "codeValue": "TX"
          }
        },
        "nameCode": {
          "shortName": " Houston, TX, US"
        },
        "aliasNames": []
      }
    ],
    "screeningRequirements": [],
    "sponsoredVisaTypeCodes": []
  },
  "detail_meta": {
    "url": "https://workforcenow.adp.com/mascsr/default/careercenter/public/events/staffing/v1/job-requisitions/532305?cid=43ed7a27-9acd-4ce9-9864-9ec8c6cbbfb1&ccId=19000101_000001&lang=en_US&locale=en_US",
    "http_status": 200,
    "content_type": "application/json;charset=UTF-8",
    "response_bytes": 9506
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/ac01d62d86b8c0eb030caafe63b485a361407c28?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/24f39c20-452c-41ea-b9fc-63a59d81a8b3JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/4dc82e43-41aa-4380-895d-d763da002f80JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/ac01d62d86b8c0eb030caafe63b485a361407c28/eventsJSON