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Data Science Developer 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 ...

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 ...

FreedomPay

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and enhance their product team. The role involves developing machine learning models, collaborating with ...

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 ...

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 ...

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 ...

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 ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

Mastech Digital

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

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$15

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How much do data science developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for data science developer in Texas is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $43.46 and $62.69 per hour, depending on experience, location, and employer.

What are some common challenges Data Science Developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What is a data science developer?

A data science developer is a professional who combines skills in data analysis, programming, and software development to build and deploy data-driven applications and models. They often work with tools like Python, R, and SQL, and may be involved in creating algorithms, data pipelines, and machine learning solutions to support business decisions.

Is 40 too late for data science?

Data science developers can enter the field at any age, 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 not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently, using tools like Python or R for analysis.

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

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

What is the difference between Data Science Developer vs Data Analyst?

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

Which is better, DS or CS?

For a Data Science Developer, both Data Science (DS) and Computer Science (CS) skills are valuable; DS focuses on data analysis, modeling, and machine learning, while CS emphasizes algorithms, programming, and system design. The choice depends on the specific role requirements and career goals, but a strong foundation in programming languages like Python or R and understanding of data management are essential in both fields.
What are popular job titles related to Data Science Developer jobs in Texas? For Data Science Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Developer jobs in Texas look for? The top searched job categories for Data Science Developer jobs in Texas are:
Data Science Developer jobs near you
Infographic showing various Data Science Developer job openings in Texas as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,094 per year, or $52.9 per hour.
Data Science Engineer

Data Science Engineer

Cypress HCM

Austin, TX • Hybrid

$65 - $69.72/hr

Full-time

Posted yesterday

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

Sourced by ZipRecruiter

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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