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Top Data Science Jobs in Texas (NOW HIRING)

AgileEngine

Senior Data Scientist ID71658

Austin, TX · On-site

The role requires 6+ years of data science experience applied specifically to cybersecurity ... Modern solutions with Fortune 500 and top product companies. - Flextime : Flexible schedule with ...

Sustainment

Data Scientist

Austin, TX · On-site

Secret or Top Secret security clearance * 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role * Strong proficiency in Python and SQL * Demonstrated ...

Sustainment

Data Scientist

Austin, TX · On-site

Secret or Top Secret security clearance * 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role * Strong proficiency in Python and SQL * Demonstrated ...

Federal Reserve System

Lead Data Scientist

Dallas, TX · On-site

Your expertise will help shape our data science vision and drive impactful insights and innovations ... Write quarterly risk reports and ad hoc analyses that explain the development of top and watch ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

Big Data Analytics Process Location: Houston, TX Must Have Skills (Top 2 technical skills only ... D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science. Top 3 ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

We are currently considered one of the top mobile ad-tech companies in the world. As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising ...

Smadex

Senior Data Scientist

Austin, TX · On-site

We are currently considered one of the top mobile ad-tech companies in the world. As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

We are currently considered one of the top mobile ad-tech companies in the world. As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising ...

Polestar Analytics

Anaplan Solution Architect

Dallas, TX · On-site

$62.50 - $82.50/hr

Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. * Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. * Featured on ...

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All JobsTop Data Science JobsTop Data Science Jobs in Texas

Top Data Science information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do top data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for top data science in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

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

AspectTop Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch and development teams, data science departments, often in tech or finance industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageTech companies, finance, healthcare, e-commerce, and startups focusing on predictive modeling and AIRetail, finance, healthcare, and other sectors focusing on reporting and data interpretation

Top Data Science roles focus on advanced analytics, machine learning, and predictive modeling, requiring specialized skills and higher-level credentials. Data Analysts primarily handle data reporting, visualization, and basic analysis. While both roles work with data, Top Data Science positions involve more complex modeling and algorithm development, often in tech-driven environments.

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

To thrive as a Top Data Scientist, you need advanced proficiency in statistics, machine learning, and programming (commonly in Python or R), typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, TensorFlow, and data visualization platforms, as well as experience with big data infrastructure such as Hadoop or Spark, is essential. Strong problem-solving ability, critical thinking, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for extracting actionable insights from complex datasets and driving data-driven decision-making in organizations.

What is a data scientist?

A data scientist is a professional who analyzes and interprets complex digital data to help organizations make informed decisions. They use techniques from statistics, computer science, and machine learning to extract insights from large datasets. Data scientists often build predictive models, visualize data trends, and communicate findings to stakeholders. Their work helps businesses optimize operations, identify new opportunities, and solve challenging problems using data-driven approaches.

Which 5 jobs will survive AI?

Top data science roles such as data analysts, machine learning engineers, data engineers, AI specialists, and business intelligence analysts are expected to persist as AI automates routine tasks. These jobs require advanced analytical skills, programming knowledge, and domain expertise that are less susceptible to automation. Continuous learning and proficiency in tools like Python, R, and SQL will help professionals stay relevant.

What professions make 500,000 a year?

In data science, senior roles such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer can earn $500,000 or more annually, especially with extensive experience, advanced skills in programming and analytics, and leadership responsibilities. High compensation often involves working in large organizations, consulting, or executive positions that oversee data strategy and teams.

What jobs pay 200,000 a year in the USA?

In data science, senior roles such as Lead Data Scientist, Data Science Manager, or Principal Data Scientist can earn $200,000 or more annually, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. High-paying roles often require advanced degrees, strong domain knowledge, and leadership responsibilities within organizations.

What are some typical challenges a data scientist faces when working on cross-functional teams?

Data scientists often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning on project goals, communicating complex technical findings to non-technical stakeholders, and managing differing priorities. It’s common to navigate ambiguity in data requirements or business objectives, requiring strong communication and adaptability. Building successful partnerships across functions is key to ensuring that data-driven insights are actionable and impactful.

What is the best job in data science?

The top data science roles include data scientist, machine learning engineer, and data analyst, depending on experience and specialization. Data scientists typically require strong programming skills in Python or R, knowledge of statistical methods, and experience with data visualization tools. These roles often offer high demand, competitive salaries, and opportunities to work on complex data-driven projects.
What are popular job titles related to Top Data Science jobs in Texas? For Top Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Top Data Science jobs in Texas look for? The top searched job categories for Top Data Science jobs in Texas are:
Top Data Science jobs near you
Senior Data Scientist ID71658

Senior Data Scientist ID71658

AgileEngine

Texas City, TX • On-site

Full-time

Posted 11 days ago

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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