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Data Science Engineer Jobs in Texas (NOW HIRING)

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and ...

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InfoVision, Inc.

Lead Data Science Engineer

Irving, TX · On-site

$98K - $129K/yr

Lead Data Science Engineer (AI/ML & GenAI) Location: Irving TX - Onsite Duration: 12 months About the Role We are seeking a highly skilled Lead Data Science Engineer to spearhead the design ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

They are seeking a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value across the ...

Gartner

Director, Data Science

Irving, TX · Remote

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Gartner

Director, Data Science

Irving, TX · On-site

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Valero Energy

Data Science Specialist

San Antonio, TX · On-site

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 ...

Valero

Data Science Specialist

San Antonio, TX

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 ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in Texas

Data Science Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data science engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in Texas? The most popular types of Data Science Engineer jobs in Texas are:
What are popular job titles related to Data Science Engineer jobs in Texas? For Data Science Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Texas look for? The top searched job categories for Data Science Engineer jobs in Texas are:
What cities in Texas are hiring for Data Science Engineer jobs? Cities in Texas with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Science Engineer

Data Science Engineer

Cypress HCM

Austin, TX • Hybrid

$65 - $69.72/hr

Full-time

Posted 4 days ago

Be an early applicant

Job description


Data Science Engineer
Job Details
  • Data Science Engineer (Contract)
  • Location: Austin TX, 78758 (Hybrid)
  • Duration: 11/17/2025 to 11/13/2026
  • Team: Fraud ADUS
Key Responsibilities:
  • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
  • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes.
  • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Required Skills & Qualifications:
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Advanced degrees are a plus.
  • 5 years of experience in data science and machine learning.
  • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
  • Hands-on experience with AI agents and LLMs - Preferred.
  • Showcase a successful history of leading impactful data science initiatives.
  • Exhibit strong communication and teamwork abilities.
  • This role is not suitable for entry-level candidates or interns.
Compensation:
  • $65.00 to $69.72 per hour.
#36557742
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About Cypress HCM

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We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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