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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 ...

Syntricate Technologies

Data Science

Austin, TX · On-site

Syntricate Technologies is seeking a Data Science professional to join their team. The role ... engineering Qualifications : Required : • Experience with GenAI • Experience with Lang Chain ...

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 ...

Mars Technominds Inc

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

The Data Science Architect will work closely with data scientists, data engineers, software engineers, cloud architects, and business stakeholders to establish scalable architecture, technical ...

New

Socket.dev

Architect, Data Science

Arlington, TX · On-site

$155 - $190/hr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... As part of our growing Data Science practice, this role offers an exciting opportunity to lead ...

Phase2 Technology

Data Science Analyst II

Austin, TX · On-site

$72 - $88/hr

Working closely with data architects, engineers, informaticians, and clinicians, the Data Science Analyst II helps design and implement innovative analytic solutions--often at the point of care--that ...

iTech US, Inc.

AliCloud Data Platform Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Collaborate with cross-functional teams including Data Science, DevOps, and Business units. Strong SQL and experience with big data technologies. Proficiency in Python / Scala / Java for data ...

Paladin Consulting

Data Scientist

The Woodlands, TX · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning ...

New

Vangard, Inc.

Manager, Data Science

Dallas, TX

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic ... Programming skills to access,transformand prepare large scale data for machine learning modeling.

Varsity Tutors

Data Science Tutor

Bryan, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Edinburg, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Corpus Christi, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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All JobsData Science Developer JobsData Science Developer Jobs in Texas

Data Science Developer information

See Texas salary details

$15

$52

$75

How much do data science developer jobs pay per hour?

As of Aug 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 is a data science developer?

A Data Science Developer is a professional who combines expertise in programming, statistics, and data analysis to build models and algorithms that extract insights from large datasets. They often work with machine learning techniques, data visualization, and various data processing tools to solve business problems. Data Science Developers collaborate with other teams to design and implement data-driven solutions, and are skilled in languages like Python, R, or Scala. Their work is essential for organizations looking to leverage data for decision-making and innovation.

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 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.

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $110,094 per year, or $52.9 per hour.

Devops Engineer-BI /Data Science

NAVA Software Solutions

Spring, TX • On-site

$48.50 - $66.50/hr

Full-time

Re-posted 8 days ago

Job description

NAVA Software solutions is looking for a Devops Engineer - BI /Data Science
Details:
Analytics DevOps Engineer
Location: Spring TX - Hybrid 3 days a week
Duration: 6-12 months
The BI/Data Science DevOps Engineer will be responsible for building and maintaining the CI/CD pipelines, deployment automation, and platform infrastructure that support the organization's Power BI, data science, and analytics ecosystem. This role bridges traditional DevOps practices with the specific needs of BI and ML environments - managing release processes for Power BI content, Databricks workspaces, and data science model deployments. The BI/Data Science DevOps Engineer takes complete ownership of deployment reliability, environment consistency, and operational governance across the analytics platform.
Job Duties/Roles
  • Design, build, and maintain CI/CD pipelines for Power BI reports/datasets, Databricks notebooks/jobs, and ML model deployments across dev, test, and production environments.
  • Automate deployment of Power BI workspaces, datasets, and dataflows using Power BI REST APIs, deployment pipelines, and source-controlled artifacts.
  • Manage Databricks infrastructure-as-code (clusters, jobs, workflows, Unity Catalog objects) using tools such as Terraform, Databricks Asset Bundles, or equivalent.
  • Establish and enforce version control practices (Git-based workflows) for BI artifacts, notebooks, and ML code across teams.
  • Build monitoring, alerting, and logging for pipeline health, job failures, deployment errors, and platform performance across the BI/data science stack.
  • Standardize environment promotion processes (dev → test → prod) with appropriate approval gates, testing, and rollback procedures.
  • Collaborate with Data Science and BI teams to containerize and package models/reports for repeatable, automated deployment.
  • Act as the liaison between Data Science, BI, Data Engineering, and Infrastructure/IT teams to align deployment practices with enterprise standards.
  • Manage access provisioning, secrets, and credentials across environments using secure vaults and role-based access controls.
  • Support cost governance and resource optimization by tracking compute usage, autoscaling policies, and cluster configurations.
  • Troubleshoot deployment failures, environment drift, and integration issues across the analytics and data science toolchain.
  • Document deployment architecture, runbooks, and standard operating procedures for platform reliability and knowledge continuity.

Knowledge, Skills, and Abilities Required (KSAR)
  • Highly proficient in CI/CD tooling such as Azure DevOps, GitHub Actions, or Jenkins.
  • Highly proficient in scripting and automation (PowerShell, Python, Bash) for deployment workflows.
  • Strong working knowledge of the Power BI platform, including deployment pipelines, REST APIs, and workspace/app management.
  • Strong experience with Databricks, including Databricks Asset Bundles, workflows, cluster policies, and Unity Catalog administration.
  • Experience with infrastructure-as-code tools such as Terraform or ARM/Bicep templates.
  • Proficient in Azure suite services relevant to data platforms - Azure Data Factory, Azure Data Lake, Azure Key Vault, Azure Synapse.
  • Solid understanding of Git-based version control and branching strategies for analytics and ML artifacts.
  • Familiarity with containerization and orchestration concepts (Docker, Kubernetes) as applied to model/report deployment.
  • Understanding of MLOps concepts - model versioning, monitoring, and automated retraining/deployment pipelines - is a strong plus.
  • Excellent verbal, written, and presentation skills, able to translate technical deployment concepts to non-technical stakeholders.
  • Attentive to detail, with strong troubleshooting and root-cause analysis skills.
  • Ability to manage highly confidential material and enforce security/compliance standards.

Minimum Years of Experience
Typically, 5 or more years of experience in DevOps, platform engineering, or infrastructure roles, with at least 2 years focused on BI or data science/ML deployment environments.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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