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Data Science Jobs in Converse, TX (NOW HIRING)

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 ...

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 ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

... data science solutions within SWBC's modern cloud-native ecosystem and enterprise AI/ML platform. Responsibilities : • Design, develop, and deploy machine learning models and analytical solutions ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Minimum 8 years of experience in data science, analytics, or related discipline * Minimum 5 years of ...

Director of Data Science

San Antonio, TX · On-site

$120K - $150K/yr

We are looking for an accomplished Director of Data Science to lead enterprise data strategy and build strong governance, quality, and management practices across the organization. This role will ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Minimum 8 years of experience in data science, analytics, or related discipline * Minimum 5 years of ...

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture. Serious candidates will possess the ...

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture. Serious candidates will possess the ...

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture. Serious candidates will possess the ...

Responsibilities : • Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance ...

Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance standards. * Design and ...

Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance standards. * Design and ...

Act as the technical lead for high-impact data science projects, from ideation through production deployment, ensuring alignment with business objectives and compliance standards. * Design and ...

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Showing results 1-20

Data Science information

See Converse, TX salary details

$34.1K

$111.5K

$178.4K

How much do data science jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data science in Converse, TX is $111,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Converse, TX? The most popular types of Data Science jobs in Converse, TX are:
What are popular job titles related to Data Science jobs in Converse, TX? For Data Science jobs in Converse, TX, the most frequently searched job titles are:
What cities near Converse, TX are hiring for Data Science jobs? Cities near Converse, TX with the most Data Science job openings:
Infographic showing various Data Science job openings in Converse, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,457 per year, or $53.6 per hour.
Data Science Specialist

Data Science Specialist

Valero Energy

San Antonio, TX • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago


Valero rating

6.3

Company rating: 6.3 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

50th of 75 rated oil and gas companies


Job description

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.
Qualifications
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's 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.
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