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Data Science Analytics Jobs in Texas (NOW HIRING)

Parkhill

Senior Data Scientist

Austin, TX · On-site +1

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field * 7+ years in data science, analytics, or AI roles * Experience with AEC, engineering, or consulting ...

Parkhill

Senior Data Scientist

Austin, TX · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field * 7+ years in data science, analytics, or AI roles * Experience with AEC, engineering, or consulting ...

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field * 7+ years in data science, analytics, or AI roles * Experience with AEC, engineering, or consulting ...

Parkhill

Senior Data Scientist

Houston, TX · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field * 7+ years in data science, analytics, or AI roles * Experience with AEC, engineering, or consulting ...

Parkhill

Senior Data Scientist

Austin, TX

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field * 7+ years in data science, analytics, or AI roles * Experience with AEC, engineering, or consulting ...

AS TRADE LLC

Data Scientist

Dallas, TX · On-site

... in data science, analytics, data analysis, or related roles Strong SQL skills for querying, joining, aggregating, and validating data Good Python knowledge using libraries such as Pandas, NumPy ...

Ci

Data Science and Analytics Manager

Austin, TX · On-site

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

Deloitte

AI and Data Science Engineer III

Dallas, TX · On-site

Responsibilities : • Lead the design, development, and delivery of analytics solutions that ... in data science, analytics, or a related field - with direct experience in client-facing or ...

IGNITE

DATA SCIENTIST

San Antonio, TX · On-site

... data science, analytics, or related disciplines. • Minimum of 5 years of experience with software development lifecycle and methodologies. • Proficiency in programming languages such as Python, R ...

Deloitte

AI and Data Science Engineer III

Houston, TX

$109K - $131K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

Deloitte

AI and Data Science Engineer III

Austin, TX

$113K - $136K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

Deloitte

AI and Data Science Engineer III

Dallas, TX

$113K - $136K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

Deloitte

AI and Data Science Engineer III

San Antonio, TX

$103K - $124K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Lead the design, development, and delivery of analytics solutions that address complex workforce ...

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

This role sits at the intersection of data science, data engineering, analytics engineering, and AI productization. The right person will pair strong technical depth with practical business judgment ...

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Data Science Analytics information

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$22

$51

$88

How much do data science analytics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data science analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

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

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in Texas? The most popular types of Data Science Analytics jobs in Texas are:
What are popular job titles related to Data Science Analytics jobs in Texas? For Data Science Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Texas look for? The top searched job categories for Data Science Analytics jobs in Texas are:
Data Science Analytics jobs near you
Data Scientist - SFO, CA or Austin, TX - 68853

Data Scientist - SFO, CA or Austin, TX - 68853

PRIMUS Global Services Inc.

Austin, TX • On-site

$140K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist - SFO, CA or Austin, TX - 68853

Salary: $140K per year

Need Ex-Apple consultants

Data Scientist : Towards ML algorithms with Python experience.

We have an immediate opportunity for a Data Scientist with strong Python and machine learning expertise to help drive data-informed decision-making across the organization. In this role, you will design, develop, and deploy statistical models and machine learning solutions, conduct exploratory data analysis to uncover actionable insights, and build and maintain forecasting models. You will work closely with business stakeholders to translate complex analytical findings into clear recommendations that support strategic and operational objectives.

The ideal candidate has 5+ years of experience in data science, analytics, or data engineering, preferably within privacy, compliance, or governance-related domains. Strong proficiency in Python (pandas, scikit-learn, statsmodels, or similar) and SQL is required, along with familiarity with causal inference techniques, experiment design, and modern data pipeline tools such as Airflow, dbt, or Spark. Experience with data governance practices, including data quality, metadata management, and data stewardship, is highly valued. Success in this role requires strong analytical thinking, effective communication skills, and the ability to present complex findings to non-technical audiences.

For immediate consideration please contact:

Bala

Technical Recruiter

PRIMUS Global Services Inc.
Desk: 215

PRIMUS Global Services logo

About PRIMUS Global Services

Sourced by ZipRecruiter

PRIMUS was established in 2002 in Irving, Texas. From this beginning the company has grown to include services and support locations in the US, UK, Germany, Poland & India. With over 3000 consultants deployed “on project” daily worldwide, PRIMUS brings together the right people and technologies to deliver the results our clients are seeking across a broad range of business initiatives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Irving, TX, US

Year founded

2002

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