bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesValero 2 EnData Science Specialist

Data Science Specialist

Valero 2 En · US-TX-San Antonio · On Site · Active · Oracle Taleo Enterprise

Job facts

FieldValue
CompanyValero 2 En
TitleData Science Specialist
Normalized title-
Department / teamOngoing
LocationSan Antonio, TX, United States
Work modelOn Site
Employment type-
Salary-
Statusactive
ATS providerOracle Taleo Enterprise
Posted / first seen / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Valero 2 En.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Oracle Taleo Enterprise.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Antonio.Open
Department jobsActive postings in Ongoing.Open
Work model jobsActive On Site 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

CompanyValero 2 En
Sourcedd2495f3-ebf4-4b48-a8be-d1543b1e8af1
ATS providerOracle Taleo Enterprise

Description

Valero is the best-in-class producer of essential fuels and products that are foundational to modern life. We invite you to join our ~10,000 employees to drive exceptional results for our company, the energy industry and our community. Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In this hands-on role, you’ll leverage your deep expertise in machine learning, statistical modeling, and data engineering to design and implement advanced AI systems that drive smarter, faster decision-making. You’ll work closely with business stakeholders to translate complex requirements into scalable, production-ready models—delivering actionable insights in areas like process optimization, anomaly detection, and predictive forecasting. From data wrangling to model tuning and deployment, you’ll own the full lifecycle of AI solutions, ensuring performance, reliability, and measurable business impact. As a technical trailblazer, you’ll stay ahead of the curve by exploring emerging tools, frameworks, and methodologies, continuously pushing the boundaries of what’s possible with data science at Valero. Key Attributes: Problem Solving Initiative Results Orientation Interpersonal Skills At Valero, we are committed to advancing the future of energy through innovation, ingenuity and unmatched execution. You can help achieve this goal if you can: Solve complex analytical challenges across Valero’s business units by developing advanced AI and data science solutions that deliver actionable insights into operational and commercial questions. Serve as a corporate resource for interpreting data analysis and models, providing expert guidance to ensure accurate understanding and application of results. Process and transform structured and unstructured data into formats suitable for advanced analytics and modeling. Develop, train, and validate machine learning models to support the implementation of AI-driven solutions across the organization. Advise and support employees on statistical and data analysis projects, promoting best practices and technical excellence. Contribute to the development and refinement of best practices for implementing advanced analytical solutions at Valero. Act as a technical expert in AI tools and collaborates with information systems teams to optimize and enhance system capabilities. Provide input on process improvement initiatives by leveraging data-driven insights to reduce costs and improve efficiency across commercial and operational workflows. This position is salaried exempt status, which means you are not eligible for overtime pay. Valero is the best-in-class producer of essential fuels and products that are foundational to modern life. We invite you to join our ~10,000 employees to drive exceptional results for our company, the energy industry and our community. Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In this hands-on role, you’ll leverage your deep expertise in machine learning, statistical modeling, and data engineering to design and implement advanced AI systems that drive smarter, faster decision-making. You’ll work closely with business stakeholders to translate complex requirements into scalable, production-ready models—delivering actionable insights in areas like process optimization, anomaly detection, and predictive forecasting. From data wrangling to model tuning and deployment, you’ll own the full lifecycle of AI solutions, ensuring performance, reliability, and measurable business impact. As a technical trailblazer, you’ll stay ahead of the curve by exploring emerging tools, frameworks, and methodologies, continuously pushing the boundaries of what’s possible with data science at Valero. Key Attributes: Problem Solving Initiative Results Orientation Interpersonal Skills At Valero, we are committed to advancing the future of energy through innovation, ingenuity and unmatched execution. You can help achieve this goal if you can: Solve complex analytical challenges across Valero’s business units by developing advanced AI and data science solutions that deliver actionable insights into operational and commercial questions. Serve as a corporate resource for interpreting data analysis and models, providing expert guidance to ensure accurate understanding and application of results. Process and transform structured and unstructured data into formats suitable for advanced analytics and modeling. Develop, train, and validate machine learning models to support the implementation of AI-driven solutions across the organization. Advise and support employees on statistical and data analysis projects, promoting best practices and technical excellence. Contribute to the development and refinement of best practices for implementing advanced analytical solutions at Valero. Act as a technical expert in AI tools and collaborates with information systems teams to optimize and enhance system capabilities. Provide input on process improvement initiatives by leveraging data-driven insights to reduce costs and improve efficiency across commercial and operational workflows. This position is salaried exempt status, which means you are not eligible for overtime pay. Minimum Requirements: Bachelor’s or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. 5+ years of experience in programing & data mining. Able and willing to work on-site, in-person at the Valero San Antonio location, required. Preferred Requirements: Master’s or higher-level degree – in a Quantitative Field such as: Mathematics, Engineering, Data Science, or Computer Science or related field or equivalent. Experience applying data science to refining related applications preferred. Refining Industry experience. Need more reasons to work for a company that is both professionally challenging and culturally rewarding? Take a look at some of our best-in-class benefits: Competitive Pay and Annual Bonus Program 100% match on 401(K) up to 7%, with immediate vesting Company-sponsored Pension Plan Comprehensive Healthcare and Wellness Programs Onsite Daycare Center Onsite Employee and Family Wellness Centers (Physician & Pediatrician) Onsite Pharmacy State-of-the-art 24-hour Fitness Center free for employees and spouses with access to Tennis and Basketball Facilities Onsite cafeteria open for breakfast and lunch Sprawling campus with walking paths and access to biking trails Benefits described above are highlights only, subject to an employee’s eligibility and work location. Position level and salary will be commensurate with qualifications and experience. Valero%27s employees and team-focused culture drive our success. We’re invested in our dedicated workforce through a comprehensive, customizable benefits package, while supporting a caring culture that delivers a rewarding work environment built on teamwork, excellence and career growth. To explore the ways we build a stronger team, visit Valero.com/Careers . Valero is an EEO/AA Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to legally protected status, including race/ethnicity, color, religion, sex, national origin, age, disability, protected veteran or any other status protected by applicable federal, state or local laws. Please be advised, if you are viewing this position on a website that lists an estimated salary rate/range, it was not provided by Valero. Valero’s market specific salary rate/range will be provided during the recruiting process and tends to be higher than what is estimated by such websites. *LI-LP1 Minimum Requirements: Bachelor’s or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. 5+ years of experience in programing & data mining. Able and willing to work on-site, in-person at the Valero San Antonio location, required. Preferred Requirements: Master’s or higher-level degree – in a Quantitative Field such as: Mathematics, Engineering, Data Science, or Computer Science or related field or equivalent. Experience applying data science to refining related applications preferred. Refining Industry experience. Need more reasons to work for a company that is both professionally challenging and culturally rewarding? Take a look at some of our best-in-class benefits: Competitive Pay and Annual Bonus Program 100% match on 401(K) up to 7%, with immediate vesting Company-sponsored Pension Plan Comprehensive Healthcare and Wellness Programs Onsite Daycare Center Onsite Employee and Family Wellness Centers (Physician & Pediatrician) Onsite Pharmacy State-of-the-art 24-hour Fitness Center free for employees and spouses with access to Tennis and Basketball Facilities Onsite cafeteria open for breakfast and lunch Sprawling campus with walking paths and access to biking trails Benefits described above are highlights only, subject to an employee’s eligibility and work location. Position level and salary will be commensurate with qualifications and experience. Valero%27s employees and team-focused culture drive our success. We’re invested in our dedicated workforce through a comprehensive, customizable benefits package, while supporting a caring culture that delivers a rewarding work environment built on teamwork, excellence and career growth. To explore the ways we build a stronger team, visit Valero.com/Careers . Valero is an EEO/AA Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to legally protected status, including race/ethnicity, color, religion, sex, national origin, age, disability, protected veteran or any other status protected by applicable federal, state or local laws. Please be advised, if you are viewing this position on a website that lists an estimated salary rate/range, it was not provided by Valero. Valero’s market specific salary rate/range will be provided during the recruiting process and tends to be higher than what is estimated by such websites. *LI-LP1

Full job record

Job ID6f0348310ef45157d6fe8bddc514c1a79e4d5170
Org ID7f48f3fe-008e-4164-a40d-e97a21dd9780
Source IDdd2495f3-ebf4-4b48-a8be-d1543b1e8af1
Board IDdd2495f3-ebf4-4b48-a8be-d1543b1e8af1
Provideroracle_taleo
Provider Job Key311291
TitleData Science Specialist
Normalized Title
Statusactive
Activeyes
Location TextUS-TX-San Antonio
DepartmentOngoing
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionTX
CitySan Antonio
Salary RawValero is the best-in-class producer of essential fuels and products that are foundational to modern life. We invite you to join our ~10,000 employees to drive exceptional results for our company, the energy industry and our community. Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In this hands-on role, you’ll leverage your deep expertise in machine learning, statistical modeling, and data engineering to design and implement advanced AI systems that drive smarter, faster decision-making. You’ll work closely with business stakeholders to translate complex requirements into scalable, production-ready models—delivering actionable insights in areas like process optimization, anomaly detection, and predictive forecasting. From data wrangling to model tuning and deployment, you’ll own the full lifecycle of AI solutions, ensuring performance, reliability, and measurable business impact. As a technical trailblazer, you’ll stay ahead of the curve by exploring emerging tools, frameworks, and methodologies, continuously pushing the boundaries of what’s possible with data science at Valero. Key Attributes: Problem Solving Initiative Results Orientation Interpersonal Skills At Valero, we are committed to advancing the future of energy through innovation, ingenuity and unmatched execution. You can help achieve this goal if you can: Solve complex analytical challenges across Valero’s business units by developing advanced AI and data science solutions that deliver actionable insights into operational and commercial questions. Serve as a corporate resource for interpreting data analysis and models, providing expert guidance to ensure accurate understanding and application of results. Process and transform structured and unstructured data into formats suitable for advanced analytics and modeling. Develop, train, and validate machine learning models to support the implementation of AI-driven solutions across the organization. Advise and support employees on statistical and data analysis projects, promoting best practices and technical excellence. Contribute to the development and refinement of best practices for implementing advanced analytical solutions at Valero. Act as a technical expert in AI tools and collaborates with information systems teams to optimize and enhance system capabilities. Provide input on process improvement initiatives by leveraging data-driven insights to reduce costs and improve efficiency across commercial and operational workflows. This position is salaried exempt status, which means you are not eligible for overtime pay. Valero is the best-in-class producer of essential fuels and products that are foundational to modern life. We invite you to join our ~10,000 employees to drive exceptional results for our company, the energy industry and our community. Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In this hands-on role, you’ll leverage your deep expertise in machine learning, statistical modeling, and data engineering to design and implement advanced AI systems that drive smarter, faster decision-making. You’ll work closely with business stakeholders to translate complex requirements into scalable, production-ready models—delivering actionable insights in areas like process optimization, anomaly detection, and predictive forecasting. From data wrangling to model tuning and deployment, you’ll own the full lifecycle of AI solutions, ensuring performance, reliability, and measurable business impact. As a technical trailblazer, you’ll stay ahead of the curve by exploring emerging tools, frameworks, and methodologies, continuously pushing the boundaries of what’s possible with data science at Valero. Key Attributes: Problem Solving Initiative Results Orientation Interpersonal Skills At Valero, we are committed to advancing the future of energy through innovation, ingenuity and unmatched execution. You can help achieve this goal if you can: Solve complex analytical challenges across Valero’s business units by developing advanced AI and data science solutions that deliver actionable insights into operational and commercial questions. Serve as a corporate resource for interpreting data analysis and models, providing expert guidance to ensure accurate understanding and application of results. Process and transform structured and unstructured data into formats suitable for advanced analytics and modeling. Develop, train, and validate machine learning models to support the implementation of AI-driven solutions across the organization. Advise and support employees on statistical and data analysis projects, promoting best practices and technical excellence. Contribute to the development and refinement of best practices for implementing advanced analytical solutions at Valero. Act as a technical expert in AI tools and collaborates with information systems teams to optimize and enhance system capabilities. Provide input on process improvement initiatives by leveraging data-driven insights to reduce costs and improve efficiency across commercial and operational workflows. This position is salaried exempt status, which means you are not eligible for overtime pay. Minimum Requirements: Bachelor’s or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. 5+ years of experience in programing & data mining. Able and willing to work on-site, in-person at the Valero San Antonio location, required. Preferred Requirements: Master’s or higher-level degree – in a Quantitative Field such as: Mathematics, Engineering, Data Science, or Computer Science or related field or equivalent. Experience applying data science to refining related applications preferred. Refining Industry experience. Need more reasons to work for a company that is both professionally challenging and culturally rewarding? Take a look at some of our best-in-class benefits: Competitive Pay and Annual Bonus Program 100% match on 401(K) up to 7%, with immediate vesting Company-sponsored Pension Plan Comprehensive Healthcare and Wellness Programs Onsite Daycare Center Onsite Employee and Family Wellness Centers (Physician & Pediatrician) Onsite Pharmacy State-of-the-art 24-hour Fitness Center free for employees and spouses with access to Tennis and Basketball Facilities Onsite cafeteria open for breakfast and lunch Sprawling campus with walking paths and access to biking trails Benefits described above are highlights only, subject to an employee’s eligibility and work location. Position level and salary will be commensurate with qualifications and experience. Valero%27s employees and team-focused culture drive our success. We’re invested in our dedicated workforce through a comprehensive, customizable benefits package, while supporting a caring culture that delivers a rewarding work environment built on teamwork, excellence and career growth. To explore the ways we build a stronger team, visit Valero.com/Careers . Valero is an EEO/AA Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to legally protected status, including race/ethnicity, color, religion, sex, national origin, age, disability, protected veteran or any other status protected by applicable federal, state or local laws. Please be advised, if you are viewing this position on a website that lists an estimated salary rate/range, it was not provided by Valero. Valero’s market specific salary rate/range will be provided during the recruiting process and tends to be higher than what is estimated by such websites. *LI-LP1 Minimum Requirements: Bachelor’s or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. 5+ years of experience in programing & data mining. Able and willing to work on-site, in-person at the Valero San Antonio location, required. Preferred Requirements: Master’s or higher-level degree – in a Quantitative Field such as: Mathematics, Engineering, Data Science, or Computer Science or related field or equivalent. Experience applying data science to refining related applications preferred. Refining Industry experience. Need more reasons to work for a company that is both professionally challenging and culturally rewarding? Take a look at some of our best-in-class benefits: Competitive Pay and Annual Bonus Program 100% match on 401(K) up to 7%, with immediate vesting Company-sponsored Pension Plan Comprehensive Healthcare and Wellness Programs Onsite Daycare Center Onsite Employee and Family Wellness Centers (Physician & Pediatrician) Onsite Pharmacy State-of-the-art 24-hour Fitness Center free for employees and spouses with access to Tennis and Basketball Facilities Onsite cafeteria open for breakfast and lunch Sprawling campus with walking paths and access to biking trails Benefits described above are highlights only, subject to an employee’s eligibility and work location. Position level and salary will be commensurate with qualifications and experience. Valero%27s employees and team-focused culture drive our success. We’re invested in our dedicated workforce through a comprehensive, customizable benefits package, while supporting a caring culture that delivers a rewarding work environment built on teamwork, excellence and career growth. To explore the ways we build a stronger team, visit Valero.com/Careers . Valero is an EEO/AA Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to legally protected status, including race/ethnicity, color, religion, sex, national origin, age, disability, protected veteran or any other status protected by applicable federal, state or local laws. Please be advised, if you are viewing this position on a website that lists an estimated salary rate/range, it was not provided by Valero. Valero’s market specific salary rate/range will be provided during the recruiting process and tends to be higher than what is estimated by such websites. *LI-LP1
Salary Min
Salary Max
Salary Currency
Salary Periodhour
Source URLhttps://valero.taleo.net/careersection/2/jobdetail.ftl?job=311291&lang=en
Apply URLhttps://valero.taleo.net/careersection/2/jobdetail.ftl?job=311291&lang=en
First Seen At2026-06-06 13:48:29Z
Last Seen At2026-06-06 13:48:29Z
Last Checked At2026-06-06 13:48:29Z
Last Changed At2026-06-06 13:48:29Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=oracle_taleo/board=valero|2|en/date=2026-06-06/2026-06-06T13-48-26-838Z-8e59692be5f9d0cbd60717fe4d67e351d6377e5ed588816b28f96f8d46631fa1.json
Event Fields
{
  "content_hash": "54028d8f2fa25ec1c1de893d0e58f9f972c7ecc3b6ea30cd4c56d818f425794c",
  "source_hash": "e61148e78eb9dd46bc31674303c0eb370d3e1e5bda485b75a06fae0aa0113162",
  "last_changed_at": "2026-06-06T13:48:29.394Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "US-TX-San Antonio",
    "city": "San Antonio",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T13:48:29.316Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "US-TX-San Antonio",
      "city": "San Antonio",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "list_job": {
    "raw": {
      "draft": false,
      "jobId": "311291",
      "column": [
        "Data Science Specialist",
        "[\"US-TX-San Antonio\"]",
        "Jun 5, 2026"
      ],
      "hotJob": false,
      "contestNo": "2600181",
      "toReApply": false,
      "linkedColumn": 0,
      "addedToJobCart": false,
      "alreadyAppliedOn": false,
      "locationsColumns": [
        1
      ]
    },
    "jobId": "311291",
    "title": "Data Science Specialist",
    "legacy": false,
    "category": null,
    "schedule": null,
    "contestNo": "2600181",
    "detailUrl": "https://valero.taleo.net/careersection/2/jobdetail.ftl?job=311291&lang=en",
    "locations": [
      "US-TX-San Antonio"
    ],
    "postingDate": "Jun 5, 2026"
  },
  "detail_meta": {
    "url": "https://valero.taleo.net/careersection/2/jobdetail.ftl?job=311291&lang=en",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 69067
  },
  "detail_errors": [],
  "detail_values_count": 36
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/6f0348310ef45157d6fe8bddc514c1a79e4d5170?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/7f48f3fe-008e-4164-a40d-e97a21dd9780JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/dd2495f3-ebf4-4b48-a8be-d1543b1e8af1JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/6f0348310ef45157d6fe8bddc514c1a79e4d5170/eventsJSON